25 results about "Hot topics" patented technology

The invention provides a technology trend prediction method and device, a computer system and a medium, and aims to excavate key technology evolution trends in various technical fields and identify future hot topics. The method comprises the following steps: performing document matching on generalized topics of various technical fields based on a highly cited document database, and extracting documents related to the generalized topics; performing text preprocessing on the literature under the generalized theme, wherein the text preprocessing comprises field proper noun standardization, word segmentation, stop word processing and word form merging and text vectorization; adopting an LDA topic clustering model to perform detailed topic clustering on the pre-processed literature, generating a keyword set and keyword contribution degrees, and condensing the keyword set and the keyword contribution degrees into detailed topics; and training and predicting the popularity data of the detailed theme over the years based on a Chronos time sequence model, and identifying the detailed theme with high popularity in the future.

This invention relates to a big data topic analysis method based on an embedding model. First, the Sentence-BERT model is used to perform sentence embedding representation on preprocessed Chinese text data. Then, the UMAP projection dimensionality reduction algorithm is used to reduce the dimensionality of the embedded vectors. Next, the HDBSCAN clustering algorithm is used to cluster the dimensionality-reduced vectors. Based on the assignment of each Chinese text in the target Chinese dataset to a corresponding topic class, the Chinese words with the highest c-TF-IDF scores are selected to represent each topic class. Finally, the DSG model is used to perform word embedding representation on the topic words, calculating the similarity between different topic words and between different topic classes, thereby detecting the volatility of newly emerging topic classes. The entire scheme design has higher topic consistency and topic diversity, and can detect new hot topics in a timely and accurate manner, providing early warnings.

The present application relates to a kind of brand influence dynamic monitoring method based on big data driving, comprising the following steps: collecting the webpage data of various network media and various forums by network crawler and carrying out pretreatment to webpage data;Media public opinion sentiment classification model is built, and the public opinion information in the webpage data of various network media after pretreatment is classified by media public opinion sentiment classification model;Hot topic mining model is built, and hot topic in the webpage data of various forums after pretreatment is mined by hot topic mining model, meanwhile, hot topic tracking model is built, and hot topic is tracked by hot topic tracking model;Brand influence trend prediction model is built, and the influence trend of the brand is predicted by the public opinion information related to the brand corresponding to the model and relevant hot topic, which provides early warning capability for brand party.

The opinion report generation method based on search enhancement generation relates to the technical field of artificial intelligence, and aims to solve the problem of poor timeliness of existing methods in generating opinion reports. The present application can be applied to analyze the public opinion of recent hot topics in social media platforms. A large amount of news and comment data is collected through a crawler or an API provided by each website. A large language model is used to summarize the collected news and detect the position of the comments. Then, a large language model is used to generate an opinion report. The opinion report generated by the present application has strong timeliness.

The invention discloses a public culture data processing method and system, and belongs to the technical field of travel propaganda, and the method comprises the following steps: collecting all available public culture resources in a region through big data search, comprising basic data of cultural relics and historic sites, museums, non-abandoned projects, local literatures, historical stories, characteristic blocks, old sizes and natural landscapes, and a structured cultural asset map is formed; the public culture data processing method and system are invented by automatically capturing hot topics of social media in a local area, Gao-like comments and user-generated contents everyday and identifying potential travel hot spots through data cleaning and aggregation, and through combination of multi-dimensional data acquisition, intelligent analysis and hierarchical planning, manual dependence can be eliminated, travel demands can be accurately captured, and the user experience is improved. The propaganda dimension is widened, high efficiency, precision and continuity of text travel propaganda are achieved, and the exposure and attraction of local text travel resources are improved.

Embodiments of the present application disclose an intent recognition method and device, and equipment. The method comprises: obtaining to-be-recognized text; inputting the to-be-recognized text and hot feature corresponding to the to-be-recognized text into an intent recognizer, and outputting a recognition result, the intent recognizer being a neural network for recognizing multiple intents, the recognition result being used for indicating an intent of the to-be-recognized text, and the hot feature being a feature extracted from target hot text, the target hot text including at least one hot text similar to the to-be-recognized text. It can be known that the intent recognition method considers that hot topics change over time, and the same to-be-recognized text can correspond to different intents. Therefore, in the process of intent recognition, the to-be-recognized text is combined with hot topics, and hot features are extracted from hot text related to the to-be-recognized text, so that the timeliness of the intent can be considered, and the accuracy of intent recognition is improved.

The present invention relates to the field of artificial intelligence and discloses a rumor detection method, device, electronic device, and storage medium that can be used by insurance business personnel in the financial industry to judge current hot topics. The method includes: extracting a text set and corresponding timestamps from an event to be detected; inputting the text set into the upper network of a rumor detection model in the order of the corresponding timestamps to perform rumor detection, obtaining a first rumor detection result corresponding to each text; and simultaneously inputting the timestamp corresponding to each text into the lower network of the rumor detection model to perform rumor detection, obtaining a second rumor detection result corresponding to each timestamp; when the second rumor detection result meets a preset stop condition, stopping rumor detection in the upper network and obtaining the last rumor detection result output by the upper network as the rumor judgment result for the event to be detected. The present invention can improve the accuracy and efficiency of rumor event detection in the financial industry.

This invention discloses a method, device, electronic device, and storage medium for generating medical science popularization content. The method includes: parsing medical research content to be popularized to obtain structured content data; identifying medical terms in the structured content data to obtain target category labels for multiple medical terms; acquiring hot topic public opinion data and style content based on the target category labels; and inputting the structured content data, hot topic public opinion data, and style content into a pre-trained science popularization content generation model to obtain medical science popularization content. This invention can guide the science popularization content generation model based on hot topic public opinion and the desired style, prompting it to generate medical science popularization content with a hot topic public opinion orientation and a specified style based on the structured content data. The generated medical science popularization content is more accessible, approachable, and humanized, improving the reading experience and better catering to readers' interests, thus enhancing the efficiency and quality of medical science popularization.

The invention provides a method for automatically generating and distributing network guidance content based on a large model, which comprises the following steps of: 1, data monitoring: collecting related data of a monitoring target in the Internet; 2, analyzing a hot topic, processing the related data collected in the step 1, and obtaining the topic of the hot event and the corresponding data content; step 3, guide content generation: setting a caliber requirement of the guide content according to the theme of the hot event obtained in the step 2, and generating the guide content through a large language model; and 4, task distribution management: selecting a distribution method and a distribution strategy according to the guide content obtained in the step 3, and carrying out guide content distribution.

A video processing method, apparatus, device and storage device is provided. The method comprises: displaying, on a play page of a target video, a hot topic panel entrance; and in response to receiving a trigger operation for the hot topic panel entrance, displaying a hot topic panel on the play page of the target video, wherein the hot topic panel displays hot topic contents for a first set of videos to which the target video belongs.

The present application relates to a method, apparatus, computer equipment and storage medium for determining an advertising delivery strategy. The method comprises: receiving an advertising delivery strategy determination message, wherein the advertising delivery strategy determination message carries data of products to be delivered; obtaining a target topic and characteristic data of the target topic based on the data of the products to be delivered; constructing a feature vector based on the characteristic data of the target topic; inputting the characteristic vector into a trained topic trend prediction model to obtain a trend prediction result of the target topic; determining an advertising delivery strategy based on the topic trend prediction result of the target topic; wherein the topic trend prediction model is trained based on historical topic data and historical topic characteristic data carrying topic classification labels, and the historical topic data corresponds to the same product field as the data of the products to be delivered. The use of this method can get rid of the practice of relying on human experience to predict hot topics, ensure the accuracy of topic trend prediction, and improve the effect of advertising delivery.

The application relates to the field of data processing, in particular to an information data processing method and device and electronic equipment. The method comprises the following steps: obtaining information data to be analyzed; using a hot topic detection model to identify hot topics in the information data in real time, tracking the change trend of the hot topics in a social network dynamic graph, and obtaining an information analysis result of the hot topics; generating a real-time interaction strategy corresponding to the hot topics based on the information analysis result and the types of various social media platforms; executing the real-time interaction strategy through a real-time interaction model to simulate the behavior characteristics of users in various social media platforms, to obtain matched information to be published and / or behavior operation instructions, and to push the information to the users for confirmation of whether to execute. The method can flexibly adjust the strategy according to different platform characteristics and dynamic information, enhance the adaptability to complex information environment and emergencies, realize intelligent information processing, simplify the information processing procedure, and improve the processing efficiency and quality.

This invention discloses a video generation method and system based on artificial intelligence and hot topic monitoring, relating to the field of video generation technology. It includes a hot topic monitoring module, a compliance processing module, a video generation module, and a compliance verification module. By capturing and filtering hot topic information, and combining dissemination frequency and timeliness indices, it accurately identifies high-value content, achieving efficient topic selection for hot topic video creation. Through multi-layered compliance processing including false information identification, value orientation assessment, and portrait rights infringement detection, it ensures that the content is authentic, positive, and legal. By leveraging artificial intelligence to extract script elements and intelligently match or generate materials, it significantly improves video production efficiency and creative richness. Simultaneously, through multi-dimensional compliance verification and correction of the initial video, it ensures that the final video is fully compliant in terms of information authenticity, value orientation, and portrait rights protection. This provides users with high-quality video content that keeps up with hot topics and helps platforms efficiently produce compliant and high-quality works.

The invention provides an advertisement image generation method and device, equipment and a storage medium, which can be applied to various scenes such as questions and answers. The processing method comprises the steps of obtaining first information and an original advertisement image of a question and answer application, wherein the first information comprises a target hot topic name; generating N questions based on the first information; reasoning and answering each question in the N questions to generate response content of each question; and based on the generated N questions and the generated response content of each question, modifying contents in a question box and a response box in the original advertisement image, and generating N new advertisement images of the question and answer application. According to the method, the labor cost of generating the advertisement image of the question and answer application is reduced, the generation efficiency of the advertisement image is improved, and the conversion rate of the advertisement image can be improved.

The invention relates to the technical field of intelligent marketing, in particular to a multimodal intelligent generation IP deformation method and system based on global marketing. The method comprises the following steps: acquiring topic information and issuing account information; analyzing the published account information, and determining an account type; determining associated hotspot information according to the account type; and determining script generation logic according to the associated hotspot information, the account type and the topic information. The risk that the content is not matched with account positioning is reduced, and the pertinence and efficiency are improved. According to the account type, the associated hotspot information is determined, the utilization efficiency of hotspot resources is optimized, the relevance and timeliness of contents are enhanced, and resource waste or user participation reduction caused by misuse of hotspots is avoided. The script generation logic is determined according to the associated hotspot information, the account type and the topic information, so that the integration and the performability of the script are improved, and insufficient coverage of stiff contents or user pain points caused by logic dispersion is avoided.

The application provides a hot topic selection method and system for energy power field science and technology periodicals, extracts keywords from papers of domestic and foreign science and technology periodicals in the energy power field, merges and groups the keywords, counts the word frequencies, forms a hot keyword library, displays the keywords in a set number of rankings according to different proportions according to the different appearance frequencies of the keywords in the hot keyword library, and selects hot topics according to the statistical results of the keywords. The application can accurately grasp the front hot information of the energy internet.

This invention discloses an AI-based advertising and marketing push method for the internet, specifically relating to the field of advertising and marketing technology. It includes analyzing search hot words and trending topics using natural language processing and text analysis techniques; determining characteristic trend words on the internet platform by statistically analyzing word frequency; identifying characteristic trend words on the internet platform and in push advertisements in real time; using knowledge graph technology and sentiment analysis to determine the trend changes of push advertisements; and determining the potential popularity of push advertisements by analyzing the relationship between the volume of push advertisement traffic and the number of ad clicks on the internet platform, thus determining whether to continue supporting push advertisement traffic. This invention helps avoid excessive investment in inefficient advertisements and optimizes advertising push strategies in real time based on market and user feedback, thereby maximizing the effectiveness of advertising.

This application relates to the field of computer technology and provides a method, computer device, medium, and system for automatically generating content. The method includes: obtaining hot topics through a hotspot screening module; inputting the hot topics into multiple generative artificial intelligence models in a hotspot analysis module to obtain content associated with the hot topics generated by each of the multiple generative artificial intelligence models; and transmitting the content associated with the hot topics generated by each of the multiple generative artificial intelligence models to a style conversion module; and generating stylized content for the hot topics through the style conversion module based on system prompts that at least include style prompts and using the content associated with the hot topics generated by each of the multiple generative artificial intelligence models. This improves overall efficiency and meets personalized needs.

The present disclosure relates to a hot topic extraction method and device, electronic equipment and storage medium. The hot topic extraction method comprises: obtaining a target text; obtaining a plurality of topics corresponding to the target text and a word probability distribution vector corresponding to each topic; calculating the topic similarity between each topic in the plurality of topics based on the word probability distribution vector, and calculating the topic consistency corresponding to each topic; based on the topic similarity and the topic consistency, the plurality of topics are merged to obtain at least one topic cluster; the topic popularity and the topic novelty of each topic cluster in the at least one topic cluster are calculated, and the hot topic corresponding to the target text is determined based on the topic popularity and the topic novelty, thereby the semantic and grammatical correlation between each word in the text can be considered when extracting the hot topic, and the accuracy of the extracted hot topic is improved.

1. Name of the product of this design: Electronic device with topic participation graphical user interface. 2. Purpose of this design product: for use in an electronic device. 3. The key design point of this design product lies in the interface content of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: The graphical user interface of this design is used for topic participation. The main view is the hot topic display page. The upper part of the interface displays hot topics, and the lower part of the interface displays popular activities. When the user clicks the button in the middle of the interface to participate in the vote, the interface presents a changing status diagram to display the participation status and voting results. 6. Other situations that require explanation: “××” in the interface represents variable text.

This invention relates to a method for analyzing international hot topics in cyber warfare, belonging to the field of cyber warfare technology. Existing technologies suffer from chaotic analysis of real-time international hot topics, high error rates, and easily tampered logical systems. This invention provides an original analysis method, with core elements including: 1. Defining clear analysis objectives; 2. Emphasizing the analysis of "people" involved in the event; 3. Constructing a rational and reasonable event logic system to ensure rigorous and unbiased logic; 4. Relying on verifiable facts to support analytical conclusions, ensuring credibility; and 5. Building a long-term stable analysis model to achieve continuous and reliable judgment. This invention collects information from multiple sources and extracts core elements of "people" and "events," forming an event logic chain through correlation analysis, creating a tamper-proof logical system, and outputting a credible analysis report after verification. Furthermore, this invention features a simple algorithm, high training accuracy, significantly improved operating efficiency, and low model deployment cost, requiring no complex hardware support. It solves the pain points of existing technologies, provides reliable support for cyber warfare situational assessment, and is applicable to various scenarios involving real-time international hot topics.

The present application relates to a method, device, electronic device, and storage medium for determining hot topics, and relates to the field of data processing technology, including: determining text topics contained in a target text, where the target text includes posting text and comment text, counting the number of posting texts and the number of comment texts for each text topic in the target text; determining a first influence weight of the posting text on the text topic and a second influence weight of the comment text on the text topic, where the first influence weight is greater than the second influence weight, and the sum of the first influence weight and the second influence weight is 1; substituting the number of posting texts and the number of comment texts for each text topic, as well as the first influence weight and the second influence weight, into a preset topic volume calculation equation to calculate the topic volume of each text topic; and determining text topics whose corresponding topic volumes are within a preset volume range as hot topics. This solution can reduce the impact of online commentary and effectively improve the accuracy of topic extraction.

The present invention proposes a method for identifying high-value hot topics in domestic cigar content marketing based on social network data demand ontology. The method collects Baidu Index consumer social network search query data, organizes and updates the data, and constructs a social network search query dynamic data set to form an initial domain ontology of cigar consumer demand. On this basis, network text analysis is used to construct a cigar consumer demand evolution ontology corpus to form a cigar consumer evolution demand domain ontology. Finally, a label indicator statistical method and a high-value hot tag recognition method are used to identify consumer hot topics, providing decision support for brand content marketing theme selection, and providing an important reference basis for brand building and market segmentation in digital marketing in the cigar industry.

The invention relates to an implosion content prediction method and device, electronic equipment and a storage medium. The method comprises the steps that firstly, hot topic data provided by different social platforms are obtained, then semantic analysis and feature mapping are conducted on the hot topic data based on a pre-constructed hot topic feature database, hot topic associated information is generated, and the hot topic associated information at least comprises candidate hot topics; according to different types of hot topic associated information, heat scores corresponding to the candidate hot topics are calculated, the multiple heat scores are subjected to weighted fusion to obtain a target hot topic index, and finally, the target hot topics are screened from all the candidate hot topics according to the target hot topic index. And predicting brand popular content associated with the target hot topic content. According to the scheme provided by the invention, the target hot topics can be accurately and efficiently identified according to the target hot topics, and then the brand popular content associated with the target hot topics can be accurately predicted.

The disclosure provides a hotspot data processing method and device, electronic equipment and storage medium, relates to the technical field of computers, in particular to the technical field of artificial intelligence such as data analysis, and a specific implementation scheme is as follows: acquiring multiple hotspot data from multiple news platforms, wherein each hotspot data includes a hotspot topic and a reference heat value corresponding to the hotspot topic; determining the semantic similarity between each hotspot topic; according to the semantic similarity between each hotspot topic, deduplicating each hotspot topic to determine a target topic; and generating a current comprehensive hotspot topic list according to the reference heat value corresponding to the target topic. Therefore, the hotspot topics of different news platforms are summarized and fused, and users can quickly and comprehensively understand the current popular topics.