Creative content strategy intelligent analysis method and device based on artificial intelligence

Abstract

The invention relates to the technical field of information processing, and discloses a creative content strategy intelligent analysis method and device based on artificial intelligence, and the method comprises the steps: displaying a content page of a creative content strategy, which is obtained by analyzing a plurality of pieces of video information of a target competitive product, the content page comprises a content analysis area of at least one analysis result of the creative content strategy, and each content analysis area is provided with a link component; in response to a trigger operation on any link component, determining an analysis result corresponding to the target content analysis area where the link component is located as a to-be-displayed target analysis result, and displaying an analysis page corresponding to the target analysis result; and displaying creative description information corresponding to the target analysis result and a video playing entrance thereof on an analysis page to trigger and display an associated creative video corresponding to the creative description information. Therefore, by implementing the method, the analysis accuracy and efficiency of the competitive product video strategy can be improved, and the accuracy and efficiency of acquiring the competitive product video strategy by the user can be improved.

Description

Technical Field

[0001] This invention relates to the field of information processing technology, and in particular to an intelligent analysis method and apparatus for creative content strategies based on artificial intelligence. Background Technology

[0002] Currently, information dissemination via video on internet platforms has become commonplace. In existing technologies, when users need to publish new product content to showcase their products, they typically need to refer to competitor information and analyze it to develop a creative content strategy in order to accurately publish the new product's information.

[0003] However, practice has shown that the analysis of creative content strategies in existing technologies mainly relies on manual methods. Specifically, users manually input competitor keywords into internet platforms to search for competitor information, manually compile all competitor information, and obtain analysis reports on competitor video strategies based on personal experience. This analysis is inaccurate and inefficient, hindering users' accurate and efficient understanding of competitor video strategies. Therefore, proposing a new analytical approach for creative content strategies is particularly important. Summary of the Invention

[0004] This invention provides an intelligent analysis method and apparatus for creative content strategies based on artificial intelligence, which can improve the accuracy and efficiency of competitor video strategy analysis and help improve the accuracy and efficiency of users' knowledge of competitor video strategies.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses an intelligent analysis method for creative content strategies based on artificial intelligence, the method comprising: The content page displays the creative content strategy, which is obtained by analyzing multiple video information of the target competitors. The content page includes a content analysis area containing at least one analysis result of the creative content strategy, and each content analysis area is provided with a link component. In response to a trigger operation on any of the link components, the analysis result corresponding to the target content analysis area where the link component is located is determined as the target analysis result to be displayed, and the analysis page corresponding to the target analysis result is displayed; The analysis page displays creative description information corresponding to the target analysis result, as well as a video playback entry point corresponding to the creative description information. The video playback entry point is used to trigger the display of the associated creative video corresponding to the creative description information.

[0006] As an optional implementation, in the first aspect of the present invention, each of the content analysis areas includes one of the distribution area of ​​the creative content type, the similar image analysis area, and the keyword analysis area; And, the display of the creative description information corresponding to the target analysis result on the analysis page includes: When the target content analysis area is the distribution area of ​​the creative content type, the analysis page displays at least one creative content type of the target competitor, at least one associated creative video of the corresponding creative content type, creative ranking information of all the associated creative videos, and description information of the corresponding associated creative videos; or, When the target content analysis area is the similar image analysis area, at least one similar image segment of the target competitor and / or segment description information of the corresponding similar image segment are displayed on the analysis page; or, When the target content analysis area is the keyword analysis area, at least one creative copy of the target competitor, the creative keywords of the corresponding creative copy, and the descriptive information of the corresponding creative copy are displayed on the analysis page.

[0007] As an optional implementation, in the first aspect of the present invention, at least one sub-description information in the creative description information within the analysis page is provided with an interactive component; Furthermore, the method further includes: In response to a trigger operation on the interactive component, the creative description information is updated according to the content of the sub-description information corresponding to the interactive component to obtain the target creative description information; The analysis page is updated by replacing the original creative description information with the target creative description information, so that the target creative description information is displayed on the analysis page.

[0008] As an optional implementation, in the first aspect of the present invention, the creative content strategy is obtained through analysis in the following manner: Collect multiple competitor videos of the target competitor, and analyze all the competitor videos according to at least one preset analysis object to obtain the analysis results of the target competitor for each of the analysis objects; By integrating the analysis results corresponding to all the analyzed objects, the creative content strategy corresponding to the target competitor is obtained.

[0009] As an optional implementation, in the first aspect of the present invention, each of the analysis objects includes either dialogue-related information or similar scene information; And, the step of analyzing all the competitor videos based on at least one preset analysis object to obtain the analysis results of the target competitor for each of the analysis objects includes: For each of the aforementioned competitor videos, the audio information of the competitor video is used to extract the dialogue, obtaining the dialogue text of the competitor video; and the dialogue texts of all the aforementioned competitor videos are analyzed to obtain the dialogue analysis results of the target competitor regarding the dialogue-related information; and / or, For each of the competitor videos, the competitor video is processed into a storyboard to obtain at least one storyboard video of the competitor video; and based on the similarity information between all the storyboard videos, the image analysis results of the target competitor regarding the similar image information are extracted from all the storyboard videos.

[0010] As an optional implementation, in the first aspect of the present invention, the step of analyzing the dialogue text of all the competitor videos to obtain the dialogue analysis results of the target competitor regarding the dialogue-related information includes: Input the dialogue text of all the competitor videos into a first preset large model, and obtain the output result of the first preset large model. Based on the creative content text of all the competitor videos included in the output result of the first preset large model, classify all the competitor videos to obtain the creative content type of each competitor video. The creative content type includes at least one of the following: single-person broadcast type, multi-person broadcast type, live-action demonstration type, product broadcast type, product demonstration type, and dramatic performance type; and / or, Extract target lines that meet preset line duration conditions from the dialogue text of each of the aforementioned competitor videos, and generate a line template for the target competitor based on the description structure corresponding to the target lines of all the aforementioned competitor videos; and / or, Input the dialogue text of all the competitor videos into the second preset large model, obtain the output result of the second preset large model, and classify the key dialogues of all the competitor videos contained in the output result of the second preset large model to obtain at least one keyword set of the target competitor, and all key dialogues in the same keyword set correspond to the same keyword type; The creative content type, the dialogue template, and the keyword set are determined as at least one of the following as the dialogue analysis result:

[0011] As an optional implementation, in the first aspect of the present invention, the step of extracting the image analysis result of the target competitor regarding the similar image information from all the storyboard videos based on the similarity information between all the storyboard videos includes: Obtain the first frame feature of each of the storyboard videos, and calculate the feature similarity between any two storyboard videos with respect to the first frame feature based on the first frame feature of all the storyboard videos; Based on the feature similarity between all the storyboard videos, similarity matching is performed on all the storyboard videos to obtain at least one similar storyboard video group. The feature similarity between all storyboard videos in the same similar storyboard video group is greater than or equal to the preset similarity. All intra-group storyboard videos within each similar storyboard video group are merged to obtain similar scene segments corresponding to each similar storyboard video group. Identify the similar scene segments corresponding to all the similar storyboard video groups, and use them as the scene analysis results of the target competitor regarding the similar scene information.

[0012] A second aspect of this invention discloses an intelligent analysis device for creative content strategies based on artificial intelligence, the device comprising: The display module is used to display the content page of the creative content strategy, which is obtained by analyzing multiple video information of the target competitors, and the content page includes a content analysis area of ​​at least one analysis result of the creative content strategy, and each content analysis area is provided with a link component; The determination module is used to determine the analysis result corresponding to the target content analysis area where the link component is located as the target analysis result to be displayed in response to the triggering operation of any of the link components; The display module is also used to display the analysis page corresponding to the target analysis result; The display module is also used to display creative description information corresponding to the target analysis result on the analysis page, and to display a video playback entry corresponding to the creative description information. The video playback entry is used to trigger the display of the associated creative video corresponding to the creative description information.

[0013] As an optional implementation, in the second aspect of the present invention, each of the content analysis areas includes one of the distribution area of ​​the creative content type, the similar image analysis area, and the keyword analysis area; Furthermore, the specific methods by which the display module displays the creative description information corresponding to the target analysis result on the analysis page include: When the target content analysis area is the distribution area of ​​the creative content type, the analysis page displays at least one creative content type of the target competitor, at least one associated creative video of the corresponding creative content type, creative ranking information of all the associated creative videos, and description information of the corresponding associated creative videos; or, When the target content analysis area is the similar image analysis area, at least one similar image segment of the target competitor and / or segment description information of the corresponding similar image segment are displayed on the analysis page; or, When the target content analysis area is the keyword analysis area, at least one creative copy of the target competitor, the creative keywords of the corresponding creative copy, and the descriptive information of the corresponding creative copy are displayed on the analysis page.

[0014] As an optional implementation, in a second aspect of the present invention, at least one sub-description of the creative description information within the analysis page is provided with an interactive component; The device also includes: An update module is configured to respond to a trigger operation on the interactive component, update the creative description information according to the content of the sub-description information corresponding to the interactive component to obtain target creative description information; and update the analysis page by replacing the creative description information with the target creative description information, so as to display the target creative description information on the analysis page.

[0015] As an optional implementation, in a second aspect of the invention, the creative content strategy is obtained through analysis in the following manner: Collect multiple competitor videos of the target competitor, and analyze all the competitor videos according to at least one preset analysis object to obtain the analysis results of the target competitor for each of the analysis objects; By integrating the analysis results corresponding to all the analyzed objects, the creative content strategy corresponding to the target competitor is obtained.

[0016] As an optional implementation, in the second aspect of the present invention, each of the analysis objects includes either dialogue-related information or similar scene information; Furthermore, the method of analyzing all the competitor videos based on at least one preset analysis object to obtain the analysis results of the target competitor for each of the analysis objects specifically includes: For each of the aforementioned competitor videos, the audio information of the competitor video is used to extract the dialogue, obtaining the dialogue text of the competitor video; and the dialogue texts of all the aforementioned competitor videos are analyzed to obtain the dialogue analysis results of the target competitor regarding the dialogue-related information; and / or, For each of the competitor videos, the competitor video is processed into a storyboard to obtain at least one storyboard video of the competitor video; and based on the similarity information between all the storyboard videos, the image analysis results of the target competitor regarding the similar image information are extracted from all the storyboard videos.

[0017] As an optional implementation, in the second aspect of the present invention, the method of analyzing the dialogue text of all the competitor videos to obtain the dialogue analysis results of the target competitor regarding the dialogue-related information specifically includes: Input the dialogue text of all the competitor videos into a first preset large model, and obtain the output result of the first preset large model. Based on the creative content text of all the competitor videos included in the output result of the first preset large model, classify all the competitor videos to obtain the creative content type of each competitor video. The creative content type includes at least one of the following: single-person broadcast type, multi-person broadcast type, live-action demonstration type, product broadcast type, product demonstration type, and dramatic performance type; and / or, Extract target lines that meet preset line duration conditions from the dialogue text of each of the aforementioned competitor videos, and generate a line template for the target competitor based on the description structure corresponding to the target lines of all the aforementioned competitor videos; and / or, Input the dialogue text of all the competitor videos into the second preset large model, obtain the output result of the second preset large model, and classify the key dialogues of all the competitor videos contained in the output result of the second preset large model to obtain at least one keyword set of the target competitor, and all key dialogues in the same keyword set correspond to the same keyword type; The creative content type, the dialogue template, and the keyword set are determined as at least one of the following as the dialogue analysis result:

[0018] As an optional implementation, in a second aspect of the present invention, the method of extracting the image analysis results of the target competitor regarding the similar image information from all the storyboard videos based on the similarity information between all the storyboard videos specifically includes: Obtain the first frame feature of each of the storyboard videos, and calculate the feature similarity between any two storyboard videos with respect to the first frame feature based on the first frame feature of all the storyboard videos; Based on the feature similarity between all the storyboard videos, similarity matching is performed on all the storyboard videos to obtain at least one similar storyboard video group. The feature similarity between all storyboard videos in the same similar storyboard video group is greater than or equal to the preset similarity. All intra-group storyboard videos within each similar storyboard video group are merged to obtain similar scene segments corresponding to each similar storyboard video group. Identify the similar scene segments corresponding to all the similar storyboard video groups, and use them as the scene analysis results of the target competitor regarding the similar scene information.

[0019] A third aspect of this invention discloses another intelligent analysis device for creative content strategies based on artificial intelligence, the device comprising: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent analysis method for creative content strategies based on artificial intelligence disclosed in the first aspect of the present invention.

[0020] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the intelligent analysis method for creative content strategies based on artificial intelligence disclosed in the first aspect of the present invention.

[0021] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In this embodiment of the invention, a content page for displaying creative content strategies is provided. These strategies are derived by analyzing multiple video information of target competitors. The content page includes a content analysis area containing at least one analysis result of the creative content strategies, and each content analysis area is equipped with a link component. In response to a trigger operation on any link component, the analysis result corresponding to the target content analysis area containing that link component is determined as the target analysis result to be displayed, and the analysis page corresponding to the target analysis result is displayed. The analysis page displays creative description information corresponding to the target analysis result, as well as a video playback entry point corresponding to the creative description information. The video playback entry point is used to trigger the display of associated creative videos corresponding to the creative description information. As can be seen, implementing this invention can display a content page containing the analyzed competitor video strategies, improve the accuracy of competitor video strategy analysis, and provide users with a visual page of competitor video strategies, offering precise and effective guidance for users' product strategies. Furthermore, by dividing at least one analysis result of competitor video strategies into corresponding content analysis areas, it can accurately present complex competitor video strategies in different areas, facilitating targeted browsing by users and improving the efficiency and accuracy of users obtaining competitor video strategy analysis results. Additionally, by setting corresponding link components in each content analysis area, it can promptly respond to triggering operations on any link component, quickly and accurately displaying the analysis page of the target analysis result corresponding to the target content analysis area where the link component is located. This allows for precise location of the content analysis area of ​​interest to users, timely presentation of corresponding analysis details, and improved accuracy and efficiency in users' understanding of creative content and highlights by displaying key creative description information on the analysis page. Furthermore, the video playback entry point for creative description information can further improve the accuracy and efficiency of users' understanding of creative video information of interest, thus enhancing the user experience. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart illustrating an intelligent analysis method for creative content strategies based on artificial intelligence, as disclosed in an embodiment of the present invention. Figure 2 This is a flowchart illustrating another intelligent analysis method for creative content strategies based on artificial intelligence disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an intelligent analysis device for creative content strategies based on artificial intelligence, as disclosed in an embodiment of the present invention. Figure 4 This is a schematic diagram of another intelligent analysis device for creative content strategies based on artificial intelligence disclosed in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of another intelligent analysis device for creative content strategies based on artificial intelligence disclosed in an embodiment of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0026] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0027] This invention discloses an intelligent analysis method and apparatus for creative content strategies based on artificial intelligence. It can display a content page containing analyzed competitor video strategies, improving the accuracy of competitor video strategy analysis. It also provides users with a visual page of competitor video strategies, offering precise and effective guidance for user product strategies. By dividing at least one analysis result of competitor video strategies into corresponding content analysis areas, it accurately presents complex competitor video strategies in different areas, facilitating targeted browsing and improving the efficiency and accuracy of users obtaining competitor video strategy analysis results. Furthermore, by setting corresponding link components in each content analysis area, it promptly responds to triggering operations on any link component, quickly and accurately displaying the analysis page of the target analysis result corresponding to the target content analysis area where the link component is located. This allows for precise location of the content analysis area of ​​interest to the user, timely presentation of corresponding analysis details, and improved accuracy and efficiency in user understanding of creative content and highlights by displaying key creative description information on the analysis page. Additionally, it enhances the accuracy and efficiency of user understanding of creative video information of interest through video playback entry points based on creative description information, thus improving the user experience. Detailed descriptions follow.

[0028] Example 1 Please see Figure 1 , Figure 1 This is a flowchart illustrating an intelligent analysis method for creative content strategies based on artificial intelligence, as disclosed in an embodiment of the present invention. Figure 1 The described AI-based intelligent analysis method for creative content strategies can be applied to an AI-based intelligent analysis device for creative content strategies. This device may include an analysis equipment or an analysis server, which may include a cloud server or a local server; this embodiment of the invention does not impose limitations. Figure 1 As shown, this AI-based intelligent analysis method for creative content strategies can include the following operations: 101. Display the content page for creative content strategies.

[0029] In this embodiment of the invention, the creative content strategy is obtained by analyzing multiple video information of target competitors, and the content page includes a content analysis area containing at least one analysis result of the creative content strategy, with each content analysis area having a link component. Optionally, each content analysis area may include one of a creative content type distribution area, a similar image analysis area, and a keyword analysis area; this embodiment of the invention does not impose any limitation on this.

[0030] In this embodiment of the invention, optionally, the target competitor and its competitor video can be products automatically determined based on competitor selection parameters, or products directly selected by the user. Specifically, the product parameters uploaded by the user are obtained, including at least one of product category, product brand, product store, etc.; the product parameters are determined as competitor selection parameters; and multiple product videos matching the competitor selection parameters are collected as competitor videos of the target competitor.

[0031] 102. In response to a trigger operation on any link component, determine the analysis result corresponding to the target content analysis area where the link component is located as the target analysis result to be displayed, and display the analysis page corresponding to the target analysis result.

[0032] In this embodiment of the invention, optionally, the triggering operation for any link component may include a mouse click operation (such as: single click, double click, long press, etc.), a cursor hover operation (such as: triggering when the mouse cursor stays on the link component for a longer than a preset hover duration), or any other operation that can equally wake up the link component. This embodiment of the invention does not limit the scope of the operation.

[0033] For example, if a user clicks a link component in the distribution area of ​​creative content types, the analysis result corresponding to the distribution area of ​​creative content types will be determined as the target analysis result to be displayed; if a user clicks a link component in the similar image analysis area, the analysis result corresponding to the similar image analysis area will be determined as the target analysis result to be displayed; if a user clicks a link component in the keyword analysis area, the analysis result corresponding to the keyword analysis area will be determined as the target analysis result to be displayed.

[0034] 103. Display the creative description information corresponding to the target analysis results on the analysis page, as well as the video playback entry corresponding to the creative description information.

[0035] In this embodiment of the invention, the video playback entry is used to trigger the display of associated creative videos corresponding to the creative description information. Optionally, the creative description information corresponding to the analysis results of the creative content type distribution area may include at least one creative content type of the target competitor, at least one associated creative video of the corresponding creative content type, creative ranking information of all associated creative videos, and at least one description of the corresponding associated creative video. The creative description information corresponding to the analysis results of the similar scene analysis area may include at least one similar scene segment of the target competitor and / or segment description information of the corresponding similar scene segment. The creative description information corresponding to the analysis results of the keyword analysis area may include at least one creative copy of the target competitor, creative keywords of the corresponding creative copy, and at least one description of the corresponding creative copy; this embodiment of the invention does not impose limitations on these aspects.

[0036] It is evident that implementation Figure 1 The described AI-based intelligent analysis method for creative content strategies can display a content page containing the analyzed competitor video strategies, improving the accuracy of competitor video strategy analysis. It also provides users with a visual page of competitor video strategies, offering precise and effective guidance for their product strategies. By dividing at least one analysis result of competitor video strategies into corresponding content analysis areas, it accurately presents complex competitor video strategies in separate areas, facilitating targeted browsing and improving the efficiency and accuracy of users obtaining competitor video strategy analysis results. Furthermore, by setting corresponding link components in each content analysis area, it promptly responds to triggering operations on any link component, quickly and accurately displaying the analysis page corresponding to the target analysis result of the target content analysis area. This allows for precise location of the content analysis area of ​​interest to the user, timely presentation of corresponding analysis details, and improved accuracy and efficiency in understanding creative content and highlights by displaying key creative description information on the analysis page. Additionally, the video playback entry point through the creative description information further enhances the accuracy and efficiency of users' access to creative video information of interest, thus improving the user experience.

[0037] In an optional embodiment, step 103 above, displaying the creative description information corresponding to the target analysis result on the analysis page, includes: When the target content analysis area is a distribution area of ​​creative content types, the analysis page displays at least one creative content type of the target competitor, at least one associated creative video of the corresponding creative content type, creative ranking information of all associated creative videos, and description information of the corresponding associated creative videos; or, When the target content analysis area is a similar image analysis area, at least one similar image segment of the target competitor and / or segment description information of the corresponding similar image segment are displayed on the analysis page; or, When the target content analysis area is the keyword analysis area, the analysis page displays at least one creative copy of the target competitor, the creative keywords of the corresponding creative copy, and at least one descriptive information of the corresponding creative copy.

[0038] Optionally, the creative sorting information may include at least one of the following: information sorted in descending order by total exposures, information sorted in descending order by the number of associated creatives, and information sorted in descending order by the number of associated influencers. The description information of associated creative videos may include at least one of the following: video title, number of days of placement, total exposures, number of associated creatives, number of associated influencers, number of likes, number of comments, number of shares, number of favorites, etc., which are not limited in this embodiment of the invention.

[0039] Optionally, the description information of similar scene clips may include textual information and data performance of the similar scene clips. The description information of the creative text may include keyword description information and data performance of the creative text. Among them, the data performance may include at least one of the following: scene position (i.e., the time the scene appears in the video), shot duration, exposure count, creative count, etc., which are not limited in this embodiment of the invention.

[0040] As can be seen, this optional embodiment can, when the target content analysis area is a distribution area of ​​creative content types, display on the analysis page at least one creative content type of the target competitor, at least one associated creative video of the corresponding creative content type, creative ranking information of all associated creative videos, and descriptive information of the corresponding associated creative videos; when the target content analysis area is a similar scene analysis area, display on the analysis page at least one similar scene segment of the target competitor and / or fragment description information of the corresponding similar scene segment; and when the target content analysis area is a keyword analysis area, display on the analysis page at least one creative copy of the target competitor, creative keywords of the corresponding creative copy, and descriptive information of the corresponding creative copy. This can improve the accuracy and reliability of the creative description information displayed on the analysis page based on diverse content analysis areas, which is beneficial to improving the accuracy and reliability of users' understanding of the creative description information of different analysis results.

[0041] In this optional embodiment, as an optional implementation, at least one sub-description information in the creative description information within the analyzed page is provided with an interactive component. Furthermore, the method further includes: In response to a trigger operation on an interactive component, the creative description information is updated based on the content of the sub-description information corresponding to the interactive component to obtain the target creative description information; The analysis page is updated by replacing the creative description with the target creative description, so that the target creative description is displayed on the analysis page.

[0042] In this embodiment of the invention, optionally, when the target content analysis area is a distribution area of ​​creative content types, at least one creative content type of the target competitor, at least one associated creative video of the corresponding creative content type, creative ranking information of all associated creative videos, and description information of the corresponding associated creative videos are all used as sub-description information of the creative description information corresponding to that area; when the target content analysis area is a similar scene analysis area, at least one similar scene segment of the target competitor and / or the segment description information of the corresponding similar scene segment are all used as sub-description information of the creative description information corresponding to that area; when the target content analysis area is a keyword analysis area, at least one creative copy of the target competitor, creative keywords of the corresponding creative copy, and description information of the corresponding creative copy are all used as sub-description information of the creative description information corresponding to that area.

[0043] For example, suppose an interactive component is set up for the creative ranking information of a distribution area of ​​creative content type. When a user triggers an update operation on the creative ranking information, such as updating the creative description information of the distribution area of ​​the creative content type from sorted by total exposure in descending order to sorted by the number of associated creatives in descending order, the resulting creative description information sorted by the number of associated creatives in descending order is used as the target creative description information and displayed on the updated analysis page.

[0044] As can be seen, this optional implementation can respond to triggering operations on interactive components, update the creative description information according to the content of the sub-description information corresponding to the interactive component, obtain the target creative description information, and update the analysis page by replacing the original creative description information with the target creative description information, so as to display the target creative description information on the analysis page. By setting interactive components in the creative description information, the accuracy and efficiency of updating the creative description information can be improved, thereby improving the accuracy and efficiency of updating the analysis page. It is also convenient to display the page according to the user's habits and interests, which is conducive to improving the user's reading experience.

[0045] Example 2 Please see Figure 2 , Figure 2 This is a flowchart illustrating an intelligent analysis method for creative content strategies based on artificial intelligence, as disclosed in an embodiment of the present invention. Figure 2The described AI-based intelligent analysis method for creative content strategies can be applied to an AI-based intelligent analysis device for creative content strategies. This device may include an analysis equipment or an analysis server, which may include a cloud server or a local server; this embodiment of the invention does not impose limitations. Figure 2 As shown, this AI-based intelligent analysis method for creative content strategies can include the following operations: 201. Collect multiple competitor videos of the target competitor, and analyze all competitor videos according to at least one preset analysis object to obtain the analysis results of the target competitor for each analysis object.

[0046] In this embodiment of the invention, optionally, each analysis object includes either dialogue-related information or similar scene information. Specifically, all competitor information of the target competitor is analyzed according to dialogue-related information to obtain the analysis results of the target competitor regarding dialogue-related information; all competitor information of the target competitor is analyzed according to similar scene information to obtain the analysis results of the target competitor regarding similar scene information.

[0047] 202. Integrate the analysis results of all the analysis objects to obtain the creative content strategies corresponding to the target competitors.

[0048] 203. Display the content page for creative content strategies.

[0049] 204. In response to a trigger operation on any link component, determine the analysis result corresponding to the target content analysis area where the link component is located as the target analysis result to be displayed, and display the analysis page corresponding to the target analysis result.

[0050] 205. Display the creative description information corresponding to the target analysis results on the analysis page, as well as the video playback entry point corresponding to the creative description information.

[0051] In this embodiment of the invention, for other descriptions of steps 203-205, please refer to the detailed description of steps 101-103 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0052] It is evident that implementation Figure 2The described AI-based intelligent analysis method for creative content strategies can display a content page containing the analyzed competitor video strategies, improving the accuracy of competitor video strategy analysis. It also provides users with a visual page of competitor video strategies, offering precise and effective guidance for their product strategies. By dividing at least one analysis result of competitor video strategies into corresponding content analysis areas, it accurately presents complex competitor video strategies in separate areas, facilitating targeted browsing and improving the efficiency and accuracy of users obtaining competitor video strategy analysis results. Furthermore, by setting corresponding link components in each content analysis area, it promptly responds to triggering operations on any link component, quickly and accurately displaying the analysis page corresponding to the target analysis result of the target content analysis area. This allows for precise location of the content analysis area of ​​interest to the user, timely presentation of corresponding analysis details, and improved accuracy and efficiency in understanding creative content and highlights by displaying key creative description information on the analysis page. Additionally, the video playback entry point through the creative description information further enhances the accuracy and efficiency of users' access to creative video information of interest, thus improving the user experience. Furthermore, it can collect multiple competitor videos of the target competitor and analyze all competitor videos based on at least one preset analysis object, such as dialogue-related information and / or similar scene information, to obtain the target competitor's analysis results for each analysis object; integrate the analysis results corresponding to all analysis objects to obtain the target competitor's corresponding creative content strategy, and can accurately analyze the target competitor's competitor videos according to different analysis objects, thereby improving the accuracy and reliability of the target competitor's analysis results for different analysis objects.

[0053] In an optional embodiment, step 201 above, which involves analyzing all competitor videos based on at least one preset analysis object to obtain the target competitor's analysis results for each analysis object, includes: For each competitor video, the audio information of that competitor video is used to extract the dialogue, obtaining the dialogue text of that competitor video; and the dialogue texts of all competitor videos are analyzed to obtain the dialogue analysis results of the target competitor regarding dialogue-related information; and / or, For each competitor video, the video is processed into a storyboard to obtain at least one storyboard video. Based on the similarity information between all storyboard videos, the video analysis results of the target competitor regarding similar scenes are extracted from all storyboard videos.

[0054] In this embodiment of the invention, specifically, the audio information of each competitor video is converted from speech to text to obtain initial dialogue text, and the initial dialogue text is integrated to obtain the dialogue text of the competitor video.

[0055] As can be seen, this optional embodiment can extract dialogue from the audio information of each competitor video to obtain the dialogue text of the competitor video, and analyze the dialogue analysis results of the target competitor regarding dialogue-related information. It can accurately extract dialogue from competitor videos, thereby improving the accuracy and efficiency of the dialogue analysis results of the target competitor. Furthermore, it can also perform scene segmentation processing on each competitor video to obtain at least one scene segment video of the competitor video, and extract the picture analysis results of the target competitor regarding similar scene information from all scene segment videos according to similarity. It can improve the accuracy and efficiency of the picture analysis results of the target competitor through accurate scene segmentation of competitor videos.

[0056] In this optional embodiment, as an optional implementation, the dialogue text of all competitor videos is analyzed to obtain the dialogue analysis results of the target competitor regarding dialogue-related information, including: Input the dialogue text of all competitor videos into the first preset large model, obtain the output of the first preset large model, and classify all competitor videos according to the creative content text of all competitor videos included in the output of the first preset large model to obtain the creative content type of each competitor video; and / or, Extract target lines that meet preset line duration conditions from the dialogue text of each competitor video, and generate a line template for the target competitor based on the descriptive structure corresponding to the target lines in all competitor videos; and / or, Input the dialogue text of all competitor videos into the second preset large model, obtain the output results of the second preset large model, and classify the key dialogues of all competitor videos included in the output results of the second preset large model to obtain at least one keyword set of the target competitor. All key dialogues in the same keyword set correspond to the same keyword type. Determine at least one of the following as the result of the dialogue analysis: creative content type, dialogue template, and keyword set.

[0057] In this embodiment of the invention, the creative content type may optionally include at least one of the following: single-person narration, multi-person narration, live-action demonstration, product narration, product display, and dramatic performance. Specifically, single-person narration refers to a type where only one person appears on camera with a single voice and product display visuals; multi-person narration refers to a video format where multiple people appear on camera successively, with one or more people taking turns explaining the content; live-action demonstration refers to a type where a live-action person appears on camera to display a product without narration, and the duration of both the product and the person's appearance is greater than or equal to a preset duration (e.g., ≥3 seconds); product narration refers to a type where body language is used in conjunction with narration to display the product without considering whether the voice matches the on-camera person; product display refers to a type where no live-action person or only body language is used to display the product without narration; and dramatic performance refers to a type where a product or brand is promoted through specific character relationships and a specific storyline. This embodiment of the invention does not impose any limitations on these types.

[0058] In this embodiment of the invention, specifically, for each competitor video, the starting playback time of the competitor video is used as the starting extraction time, and the dialogue text of the competitor video is extracted until a preset extraction duration is reached. For example, all the dialogue text of the competitor video within the first 3 seconds is extracted as the target dialogue. Then, according to the description structure corresponding to the target dialogue of all competitor videos, all target dialogues with the same description structure are merged, and the dialogue template corresponding to the description structure is extracted. The dialogue templates corresponding to all description structures are determined as the dialogue templates of the target competitor, which makes it easier for users to quickly capture key dialogue information.

[0059] In this embodiment of the invention, the key lines can optionally be categorized into target audience, product key points, product discounts, product demand scenarios, product celebrities and influencers, etc.

[0060] As can be seen, this optional implementation can input the dialogue text of all competitor videos into a first preset large model, and classify all competitor videos according to the creative content text of all competitor videos included in the output of the first preset large model, thereby obtaining the creative content type of each competitor video. This allows for creative content analysis based on a large language model, improving the accuracy and reliability of the classification of competitor video creative content. Furthermore, it can extract target dialogue that meets preset dialogue duration conditions from the dialogue text of each competitor video, and generate dialogue templates for the target competitors based on the descriptive structure corresponding to the target dialogue in all competitor videos. This improves the accuracy and reliability of the classification of competitor video creative content based on the dialogue description structure. The accuracy and reliability of the generated dialogue templates are improved. Furthermore, the system can input the dialogue text of all competitor videos into a second preset large model, and classify the key dialogues of all competitor videos included in the output of the second preset large model to obtain at least one keyword set for the target competitor. All key dialogues within the same keyword set correspond to the same keyword type. This system can improve the accuracy and reliability of the keyword set classification for the target competitor by classifying key dialogues based on a large language model. Ultimately, it determines at least one of the creative content type, dialogue template, and keyword set as the dialogue analysis result. This facilitates the improvement of the accuracy, diversity, and reliability of the dialogue analysis results through diversified processing of the dialogue text.

[0061] In this optional embodiment, as another optional implementation, based on the similarity information between all storyboard videos, the image analysis results of the target competitor regarding similar image information are extracted from all storyboard videos, including: Obtain the first frame feature of each storyboard video, and calculate the feature similarity between any two storyboard videos based on the first frame feature of all storyboard videos; Based on the feature similarity between all storyboard videos, similarity matching is performed on all storyboard videos to obtain at least one similar storyboard video group. The feature similarity between all storyboard videos in the same similar storyboard video group is greater than or equal to the preset similarity. Merge all intra-group storyboard videos within each similar storyboard video group to obtain the similar scene clips corresponding to each similar storyboard video group. Identify the similar scene segments corresponding to all similar storyboard video groups, and use them as the results of the image analysis of similar scene information of the target competitors.

[0062] In this embodiment of the invention, specifically, the first frame feature of each storyboard video is analyzed for similarity with the first frame feature of other storyboard videos. Storyboard videos with high similarity are integrated to obtain a similar storyboard video group, which is then merged to obtain similar image segments, i.e., high-frequency segments, as the image analysis results of the target competitor regarding similar image information.

[0063] As can be seen, this optional implementation can acquire the first frame feature of each storyboard video, calculate the feature similarity between every two storyboard videos based on the first frame feature of all storyboard videos, and perform similarity matching on all storyboard videos based on the feature similarity between all storyboard videos to obtain at least one similar storyboard video group. The feature similarity between all storyboard videos within the same similar storyboard video group is greater than or equal to a preset similarity. Then, all storyboard videos within each similar storyboard video group are merged to obtain similar scene segments corresponding to each similar storyboard video group. Finally, the similar scene segments corresponding to all similar storyboard video groups are determined as the scene analysis results of the target competitor regarding similar scene information. By performing similarity analysis on all storyboard videos, the accuracy and reliability of the merged similar scene segments can be improved, thereby improving the accuracy and reliability of the scene analysis results of the target competitor regarding similar scene information.

[0064] Example 3 Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an intelligent analysis device for creative content strategies based on artificial intelligence, as disclosed in an embodiment of the present invention. Figure 3 The described AI-based intelligent analysis device for creative content strategies may include analysis equipment or analysis servers, wherein the analysis server may include a cloud server or a local server, and this embodiment of the invention is not limited thereto. Figure 3 As shown, the AI-based intelligent analysis device for creative content strategies may include: Display module 301 is used to display the content page of the creative content strategy. The creative content strategy is obtained by analyzing multiple video information of the target competitors, and the content page includes a content analysis area of ​​at least one analysis result of the creative content strategy. Each content analysis area is equipped with a link component. The determination module 302 is used to determine the analysis result corresponding to the target content analysis area where the link component is located as the target analysis result to be displayed in response to the trigger operation of any link component; The display module 301 is also used to display the analysis page corresponding to the target analysis results; The display module 301 is also used to display the creative description information corresponding to the target analysis result on the analysis page, and to display the video playback entry corresponding to the creative description information. The video playback entry is used to trigger the display of the associated creative video corresponding to the creative description information.

[0065] It is evident that implementation Figure 3The described AI-based intelligent analysis device for creative content strategies can display a content page containing analyzed competitor video strategies, improving the accuracy of competitor video strategy analysis. It also provides users with a visual page of competitor video strategies, offering precise and effective guidance for their product strategies. By dividing at least one analysis result of competitor video strategies into corresponding content analysis areas, it accurately presents complex competitor video strategies in separate areas, facilitating targeted browsing and improving the efficiency and accuracy of users obtaining competitor video strategy analysis results. Furthermore, by setting corresponding link components in each content analysis area, it promptly responds to triggering operations on any link component, quickly and accurately displaying the analysis page corresponding to the target analysis result of the target content analysis area. This allows for precise location of the content analysis area of ​​interest to the user, timely presentation of corresponding analysis details, and improved accuracy and efficiency in understanding creative content and highlights by displaying key creative description information on the analysis page. Additionally, the video playback entry point through the creative description information further enhances the accuracy and efficiency of users' access to creative video information of interest, thus improving the user experience.

[0066] In an optional embodiment, each content analysis area includes one of a creative content type distribution area, a similar image analysis area, and a keyword analysis area; Furthermore, the specific methods by which the display module 301 displays the creative description information corresponding to the target analysis results on the analysis page include: When the target content analysis area is a distribution area of ​​creative content types, the analysis page displays at least one creative content type of the target competitor, at least one associated creative video of the corresponding creative content type, creative ranking information of all associated creative videos, and description information of the corresponding associated creative videos; or, When the target content analysis area is a similar image analysis area, at least one similar image segment of the target competitor and / or segment description information of the corresponding similar image segment are displayed on the analysis page; or, When the target content analysis area is the keyword analysis area, the analysis page displays at least one creative copy of the target competitor, the creative keywords of the corresponding creative copy, and at least one descriptive information of the corresponding creative copy.

[0067] As can be seen, this optional embodiment can, when the target content analysis area is a distribution area of ​​creative content types, display on the analysis page at least one creative content type of the target competitor, at least one associated creative video of the corresponding creative content type, creative ranking information of all associated creative videos, and descriptive information of the corresponding associated creative videos; when the target content analysis area is a similar scene analysis area, display on the analysis page at least one similar scene segment of the target competitor and / or fragment description information of the corresponding similar scene segment; and when the target content analysis area is a keyword analysis area, display on the analysis page at least one creative copy of the target competitor, creative keywords of the corresponding creative copy, and descriptive information of the corresponding creative copy. This can improve the accuracy and reliability of the creative description information displayed on the analysis page based on diverse content analysis areas, which is beneficial to improving the accuracy and reliability of users' understanding of the creative description information of different analysis results.

[0068] In this optional embodiment, as an optional implementation, at least one sub-description information in the creative description information within the analysis page is provided with an interactive component. And, as... Figure 5 As shown, Figure 5 This is a schematic diagram of another intelligent analysis device for creative content strategies based on artificial intelligence disclosed in an embodiment of the present invention, wherein the device may further include: The update module 303 is used to respond to a trigger operation on an interactive component, update the creative description information according to the content of the sub-description information corresponding to the interactive component to obtain the target creative description information; and update the analysis page by replacing the creative description information with the target creative description information so as to display the target creative description information on the analysis page.

[0069] As can be seen, this optional implementation can respond to triggering operations on interactive components, update the creative description information according to the content of the sub-description information corresponding to the interactive component, obtain the target creative description information, and update the analysis page by replacing the original creative description information with the target creative description information, so as to display the target creative description information on the analysis page. By setting interactive components in the creative description information, the accuracy and efficiency of updating the creative description information can be improved, thereby improving the accuracy and efficiency of updating the analysis page. It is also convenient to display the page according to the user's habits and interests, which is conducive to improving the user's reading experience.

[0070] In another alternative embodiment, the creative content strategy is obtained through analysis in the following manner: Collect multiple competitor videos of the target competitor, and analyze all competitor videos based on at least one preset analysis object to obtain the analysis results of the target competitor for each analysis object; By integrating the analysis results of all the analyzed objects, we can obtain the creative content strategies for the target competitors.

[0071] As can be seen, this optional embodiment can collect multiple competitor videos of the target competitor and analyze all competitor videos according to at least one preset analysis object, such as dialogue-related information and / or similar scene information, to obtain the analysis results of the target competitor for each analysis object; integrate the analysis results corresponding to all analysis objects to obtain the creative content strategy corresponding to the target competitor, and can accurately analyze the competitor videos of the target competitor according to different analysis objects, thereby improving the accuracy and reliability of the analysis results of the target competitor for different analysis objects.

[0072] In this optional embodiment, as an optional implementation, each analysis object includes either dialogue-related information or similar scene information. Furthermore, the method of analyzing all competitor videos based on at least one preset analysis object to obtain the target competitor's analysis results for each analysis object specifically includes: For each competitor video, the audio information of that competitor video is used to extract the dialogue, obtaining the dialogue text of that competitor video; and the dialogue texts of all competitor videos are analyzed to obtain the dialogue analysis results of the target competitor regarding dialogue-related information; and / or, For each competitor video, the video is processed into a storyboard to obtain at least one storyboard video. Based on the similarity information between all storyboard videos, the video analysis results of the target competitor regarding similar scenes are extracted from all storyboard videos.

[0073] As can be seen, this optional implementation can extract dialogue from the audio information of each competitor video to obtain the dialogue text of the competitor video, and analyze the dialogue analysis results of the target competitor regarding dialogue-related information. It can accurately extract dialogue from competitor videos, thereby improving the accuracy and efficiency of the dialogue analysis results of the target competitor. Furthermore, it can also perform scene segmentation processing on each competitor video to obtain at least one scene segment video of the competitor video, and extract the picture analysis results of the target competitor regarding similar scene information from all scene segment videos according to similarity. It can improve the accuracy and efficiency of the picture analysis results of the target competitor through precise scene segmentation of competitor videos.

[0074] In this optional implementation, the method of analyzing the dialogue text of all competitor videos to obtain the dialogue analysis results of the target competitor related to the dialogue may specifically include: Input the dialogue text of all competitor videos into the first preset large model, and obtain the output of the first preset large model. Based on the creative content text of all competitor videos included in the output of the first preset large model, classify all competitor videos to obtain the creative content type of each competitor video. The creative content type includes at least one of the following: single-person broadcast type, multi-person broadcast type, live-action demonstration type, product broadcast type, product demonstration type, and drama performance type; and / or, Extract target lines that meet preset line duration conditions from the dialogue text of each competitor video, and generate a line template for the target competitor based on the descriptive structure corresponding to the target lines in all competitor videos; and / or, Input the dialogue text of all competitor videos into the second preset large model, obtain the output results of the second preset large model, and classify the key dialogues of all competitor videos included in the output results of the second preset large model to obtain at least one keyword set of the target competitor. All key dialogues in the same keyword set correspond to the same keyword type. Determine at least one of the following as the result of the dialogue analysis: creative content type, dialogue template, and keyword set.

[0075] As can be seen, this optional implementation can also input the dialogue text of all competitor videos into a first preset large model, and classify all competitor videos according to the creative content text of all competitor videos included in the output of the first preset large model, thereby obtaining the creative content type of each competitor video. This can improve the accuracy and reliability of the classification of competitor video creative content based on a large language model. Furthermore, it can extract target dialogue that meets preset dialogue duration conditions from the dialogue text of each competitor video, and generate a dialogue template for the target competitor based on the descriptive structure corresponding to the target dialogue of all competitor videos. This can improve the target competitor's dialogue template based on the descriptive structure of the competitor videos' dialogue. The system improves the accuracy and reliability of dialogue template generation; it can also input the dialogue text of all competitor videos into a second preset large model, and classify the key dialogues of all competitor videos included in the output of the second preset large model to obtain at least one keyword set of the target competitor. All key dialogues within the same keyword set correspond to the same keyword type. It can improve the classification accuracy and reliability of the keyword set of the target competitor by classifying key dialogues based on a large language model, and finally determine at least one of the creative content type, dialogue template, and keyword set as the dialogue analysis result. This is beneficial to improve the accuracy, diversity, and reliability of the dialogue analysis results through diversified processing of dialogue text.

[0076] In this optional implementation, the method of extracting the image analysis results of the target competitor regarding similar images from all storyboard videos based on the similarity information between all storyboard videos specifically includes: Obtain the first frame feature of each storyboard video, and calculate the feature similarity between any two storyboard videos based on the first frame feature of all storyboard videos; Based on the feature similarity between all storyboard videos, similarity matching is performed on all storyboard videos to obtain at least one similar storyboard video group. The feature similarity between all storyboard videos in the same similar storyboard video group is greater than or equal to the preset similarity. Merge all intra-group storyboard videos within each similar storyboard video group to obtain the similar scene clips corresponding to each similar storyboard video group. Identify the similar scene segments corresponding to all similar storyboard video groups, and use them as the results of the image analysis of similar scene information of the target competitors.

[0077] As can be seen, this optional implementation can also obtain the first frame feature of each storyboard video, and calculate the feature similarity between every two storyboard videos with respect to the first frame feature based on the first frame feature of all storyboard videos. Furthermore, based on the feature similarity between all storyboard videos, similarity matching is performed on all storyboard videos to obtain at least one similar storyboard video group. The feature similarity between all storyboard videos within the same similar storyboard video group is greater than or equal to a preset similarity. Subsequently, all storyboard videos within each similar storyboard video group are merged to obtain similar scene segments corresponding to each similar storyboard video group. Then, the similar scene segments corresponding to all similar storyboard video groups are determined as the scene analysis results of the target competitor regarding similar scene information. By performing similarity analysis on all storyboard videos, the accuracy and reliability of the merged similar scene segments can be improved, thereby improving the accuracy and reliability of the scene analysis results of the target competitor regarding similar scene information.

[0078] Example 4 Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of another intelligent analysis device for creative content strategies based on artificial intelligence, as disclosed in an embodiment of the present invention. Figure 5 As shown, the AI-based intelligent analysis device for creative content strategies may include: Memory 401 storing executable program code; Processor 402 coupled to memory 401; The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the AI-based intelligent analysis method for creative content strategies described in Embodiment 1 or Embodiment 2 of the present invention.

[0079] Example 5 This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the AI-based intelligent analysis method for creative content strategies described in Embodiment 1 or Embodiment 2 of this invention.

[0080] Example 6 This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the AI-based intelligent analysis method for creative content strategies described in Embodiment 1 or Embodiment 2.

[0081] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0082] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0083] Finally, it should be noted that the intelligent analysis method and apparatus for creative content strategy based on artificial intelligence disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent analysis method for creative content strategies based on artificial intelligence, characterized in that, The method includes: The content page displays the creative content strategy, which is obtained by analyzing multiple video information of the target competitors. The content page includes a content analysis area containing at least one analysis result of the creative content strategy, and each content analysis area is provided with a link component. In response to a trigger operation on any of the link components, the analysis result corresponding to the target content analysis area where the link component is located is determined as the target analysis result to be displayed, and the analysis page corresponding to the target analysis result is displayed; The analysis page displays creative description information corresponding to the target analysis result, as well as a video playback entry point corresponding to the creative description information. The video playback entry point is used to trigger the display of the associated creative video corresponding to the creative description information.

2. The intelligent analysis method for creative content strategies based on artificial intelligence according to claim 1, characterized in that, Each of the aforementioned content analysis areas includes one of the following: a distribution area for the creative content type, a similar image analysis area, and a keyword analysis area; And, the display of the creative description information corresponding to the target analysis result on the analysis page includes: When the target content analysis area is the distribution area of ​​the creative content type, the analysis page displays at least one creative content type of the target competitor, at least one associated creative video of the corresponding creative content type, creative ranking information of all the associated creative videos, and description information of the corresponding associated creative videos; or, When the target content analysis area is the similar image analysis area, at least one similar image segment of the target competitor and / or segment description information of the corresponding similar image segment are displayed on the analysis page; or, When the target content analysis area is the keyword analysis area, at least one creative copy of the target competitor, the creative keywords of the corresponding creative copy, and the descriptive information of the corresponding creative copy are displayed on the analysis page.

3. The intelligent analysis method for creative content strategies based on artificial intelligence according to claim 2, characterized in that, At least one sub-description of the creative description information within the analysis page is equipped with an interactive component; Furthermore, the method further includes: In response to a trigger operation on the interactive component, the creative description information is updated according to the content of the sub-description information corresponding to the interactive component to obtain the target creative description information; The analysis page is updated by replacing the original creative description information with the target creative description information, so that the target creative description information is displayed on the analysis page.

4. The intelligent analysis method for creative content strategy based on artificial intelligence according to any one of claims 1-3, characterized in that, The creative content strategy was obtained through analysis in the following ways: Collect multiple competitor videos of the target competitor, and analyze all the competitor videos according to at least one preset analysis object to obtain the analysis results of the target competitor for each of the analysis objects; By integrating the analysis results corresponding to all the analyzed objects, the creative content strategy corresponding to the target competitor is obtained.

5. The intelligent analysis method for creative content strategies based on artificial intelligence according to claim 4, characterized in that, Each of the analysis objects includes either dialogue-related information or similar scene information; And, the step of analyzing all the competitor videos based on at least one preset analysis object to obtain the analysis results of the target competitor for each of the analysis objects includes: For each of the aforementioned competitor videos, the audio information of the competitor video is used to extract the dialogue, obtaining the dialogue text of the competitor video; and the dialogue texts of all the aforementioned competitor videos are analyzed to obtain the dialogue analysis results of the target competitor regarding the dialogue-related information; and / or, For each of the competitor videos, the competitor video is processed into a storyboard to obtain at least one storyboard video of the competitor video; and based on the similarity information between all the storyboard videos, the image analysis results of the target competitor regarding the similar image information are extracted from all the storyboard videos.

6. The intelligent analysis method for creative content strategies based on artificial intelligence according to claim 5, characterized in that, The analysis of the dialogue text of all the competitor videos yields the dialogue analysis results of the target competitor regarding the dialogue information, including: Input the dialogue text of all the competitor videos into a first preset large model, and obtain the output result of the first preset large model. Based on the creative content text of all the competitor videos included in the output result of the first preset large model, classify all the competitor videos to obtain the creative content type of each competitor video. The creative content type includes at least one of the following: single-person broadcast type, multi-person broadcast type, live-action demonstration type, product broadcast type, product demonstration type, and dramatic performance type; and / or, Extract target lines that meet preset line duration conditions from the dialogue text of each of the aforementioned competitor videos, and generate a line template for the target competitor based on the description structure corresponding to the target lines of all the aforementioned competitor videos; and / or, Input the dialogue text of all the competitor videos into the second preset large model, obtain the output result of the second preset large model, and classify the key dialogues of all the competitor videos contained in the output result of the second preset large model to obtain at least one keyword set of the target competitor, and all key dialogues in the same keyword set correspond to the same keyword type; The creative content type, the dialogue template, and the keyword set are determined as at least one of the following as the dialogue analysis result:

7. The intelligent analysis method for creative content strategy based on artificial intelligence according to claim 5 or 6, characterized in that, The step of extracting the image analysis results of the target competitor regarding the similar image information from all the storyboard videos based on the similarity information between all the storyboard videos includes: Obtain the first frame feature of each of the storyboard videos, and calculate the feature similarity between any two storyboard videos with respect to the first frame feature based on the first frame feature of all the storyboard videos; Based on the feature similarity between all the storyboard videos, similarity matching is performed on all the storyboard videos to obtain at least one similar storyboard video group. The feature similarity between all storyboard videos in the same similar storyboard video group is greater than or equal to the preset similarity. All intra-group storyboard videos within each similar storyboard video group are merged to obtain similar scene segments corresponding to each similar storyboard video group. Identify the similar scene segments corresponding to all the similar storyboard video groups, and use them as the scene analysis results of the target competitor regarding the similar scene information.

8. An intelligent analysis device for creative content strategies based on artificial intelligence, characterized in that, The device includes: The display module is used to display the content page of the creative content strategy, which is obtained by analyzing multiple video information of the target competitors, and the content page includes a content analysis area of ​​at least one analysis result of the creative content strategy, and each content analysis area is provided with a link component; The determination module is used to determine the analysis result corresponding to the target content analysis area where the link component is located as the target analysis result to be displayed in response to the triggering operation of any of the link components; The display module is also used to display the analysis page corresponding to the target analysis result; The display module is also used to display creative description information corresponding to the target analysis result on the analysis page, and to display a video playback entry corresponding to the creative description information. The video playback entry is used to trigger the display of the associated creative video corresponding to the creative description information.

9. An intelligent analysis device for creative content strategies based on artificial intelligence, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the AI-based intelligent analysis method for creative content strategies as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the AI-based intelligent analysis method for creative content strategies as described in any one of claims 1-7.

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