159 results about "Copywriting" patented technology

The invention relates to the technical field of AIGC content generation, discloses an AIGC content generation method and system based on multi-modal fusion, and aims to solve the problems of decentralization, low efficiency and insufficient originality of a traditional content generation tool. Multi-modal data such as texts, images, videos and audios are integrated, user intentions are analyzed in combination with intelligent retrieval and a domain knowledge base, automatic generation from multi-modal input to high-quality creative content is achieved, a cross-modal collaborative generation technology is adopted, semantic features are dynamically aligned, and logically coherent content is generated. The content emotional value is enhanced through an emotional analysis and dynamic optimization strategy, the homogenization bottleneck is broken through, meanwhile, an automatic quality evaluation and format adaptation mechanism is integrated, deep application of scenes such as text travel, advertisement, e-commerce and interactive network television service is supported, marketing copywriting, short videos and cross-platform distribution schemes can be efficiently generated, and the market competitiveness is improved. And the content production efficiency and the creativity transmission are obviously improved.

The invention discloses a marketing copywriting generation model optimization method and device and a storage medium, and the method comprises the steps: obtaining a to-be-optimized data model, and carrying out the incremental pre-training of a base model through marketing knowledge data, and obtaining the to-be-optimized data model; subjective indexes are screened through a preset evaluation index system, and screening results are integrated into objective indexes; constructing a sample data set based on the objective indexes, and training the data model by adopting the sample data set to obtain a target model; and generating a generation logic path of the target model by using a preset thinking chain decomposition model, and optimizing the target model through the generation logic path. According to the method, efficient injection and objective quantitative evaluation of marketing knowledge are realized by constructing a technical path combining a vertical field evaluation index system and incremental pre-training, and the technical effects of improving the brand integrating degree, the selling point accuracy and the commercial availability of the generated copywriting are realized in combination with an iterative optimization mechanism guided by a thinking chain.

The invention relates to an intelligent marketing content generation and optimization system, and belongs to the technical field of artificial intelligence and digital marketing. According to the system, through cooperative operation of the data acquisition module, the intelligent text generation module, the multi-modal synthesis module, the risk management and control module and the dynamic optimization module, whole-process closed-loop management of marketing content is realized. The data acquisition module captures unstructured data from a multi-source platform based on a user authorization protocol, semantic cleaning and structured processing are performed through a large model interface, and the problems of data dispersion and fragmentation are solved. The intelligent text generation module receives user parameters through an interactive interface, matches a preset prompt word bank, calls a large model interface to generate multi-version copywriting in batches, and supports concurrent processing of single-choice or multi-choice product lists. The multi-modal synthesis module extracts keywords according to copywriting semantics, matches pre-annotated visual materials and generates multilingual speech paraphrases, so as to ensure the consistency of graphic and text information. The risk management and control module intercepts sensitive content in real time based on an industry rule base, and guarantees output compliance. And the dynamic optimization module integrates the user behavior data to generate a delivery strategy, updates a prompt word bank and a generation model through a closed-loop feedback mechanism, and realizes dynamic adaptation of contents and market demands. Compared with a traditional method, the system has the advantages that the content generation efficiency, the cross-modal matching precision and the compliance control level are remarkably improved, and the system is suitable for the global digital marketing requirements of multiple industry scenes such as e-commerce, industrial equipment and cross-border trade.

The invention provides a content generation method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a hotspot event according to a preset time period; performing multi-level risk factor identification on the hot events, and determining the hot events containing risk factors; for the hotspot event with each prediction result being risk factors, calculating a public attention score of the hotspot event based on an emotion vector and a topic vector of the hotspot event; when it is determined that the public attention score of the hot event is greater than a preset score threshold, determining product information of the hot event based on risk information corresponding to the hot event; and constructing corresponding copywriting content based on the title, the document content, the product information and the materials of the hot event. And generating the corresponding copywriting content. Therefore, the corresponding marketing content is accurately and quickly generated.

The invention discloses a copywriting generation method based on artificial intelligence. The method comprises the following steps: constructing a propagation technique knowledge base and a creation technique knowledge base of an advertisement copywriting according to demand information; retrieving a matched creative strategy combination from the creative technique knowledge base, and encoding the creative strategy combination as a first cue word fragment; outputting a Top-K sub-graph, and encoding the Top-K sub-graph into a second cue word fragment; splicing the first cue word segment, the second cue word segment and the target audience portrait and style control parameters, generating a complete cue word, and generating an advertisement copywriting first draft; performing quality evaluation and generating a hallucination probability graph; and outputting the finally generated advertisement copywriting until the illusion probability output by the rewritten advertisement copywriting meets the requirement. According to the method, a closed loop of copywriting generation-evaluation-optimization is realized, and the quality of the copywriting can be effectively improved through a small number of iterations.

The invention discloses a multi-language advertisement creative generation system, and the system comprises a data collection and preprocessing module which is responsible for collecting text travel and language data, and carrying out the cleaning and marking. The culture feature analysis and modeling module extracts culture features in the data and constructs a culture model to map features and language expressions. The creativity generation module constructs a semantic understanding model based on deep learning, is in butt joint with the culture model, and generates creativity themes and plots. And the language generation module inputs the creative theme and the target language into a language generation model and outputs an advertisement copywriting. And the multi-language optimization and integration module optimizes the copywriting of each language and integrates the copywriting into an advertisement creative set. And the user interaction and feedback module provides an interface, inputs text travel items, target languages and parameters, outputs copywriting, and optimizes the system according to user feedback. According to the invention, the generation efficiency of the advertisement creativity can be improved, the adaptability of the advertisement copywriting in different language culture environments is enhanced, and the limitation of traditional advertisement creativity generation can be broken through.

The invention provides a video dubbing language conversion method, a video dubbing language conversion system and related equipment. The method comprises the following steps: acquiring audio track data from a video to be converted; carrying out human voice extraction on the audio track data and classifying according to roles to obtain a single speaker audio of each role; performing voice-to-text conversion on the single speaker audio of each role to obtain an original language copywriting of each role; performing sound cloning on the single speaker audio of each role to obtain a timbre model of each role; performing target language translation on the original language copywriting of each role to obtain a translated copywriting of each role; based on the translation copywriting of each role and the tone model of each role, performing text-to-voice conversion to obtain a translation audio of each role; and performing replacement of each role translation audio on the audio track data in the to-be-converted video to obtain a dubbing conversion video. According to the technical scheme, language video dubbing conversion combined with the tone of the speaker is achieved, the video is more diversified, and the user requirements can be better met.

The invention discloses a marketing copywriting generation method and device and a storage medium, and relates to the technical field of natural language generation, and the method comprises the steps: obtaining a to-be-optimized original marketing copywriting, a structured tag and environment variable information; inputting the original marketing copywriting, the structured tag and the environment variable information into a causal reasoning generation model; in response to a virtual intervention instruction of a user on at least one target intervention label in the structured labels, executing anti-factual reasoning through a causal reasoning generation model, generating an optimized marketing copywriting corresponding to the virtual intervention instruction, and calculating a corresponding predicted interaction amount; and outputting the optimized marketing copywriting and the predicted interaction amount. According to the method, the anti-factual causal reasoning and the large language model generation capability are fused, the user is supported to preview and optimize the copywriting and the interaction effect in real time through the virtual intervention label, multi-strategy low-cost and efficient simulation evaluation is realized on the premise that real delivery is not needed, and the intelligent level, the decision-making efficiency and the result interpretability of copywriting optimization are remarkably improved.

The invention provides an automatic marketing document generation method and device based on reinforcement learning and a storage medium. The method comprises the following steps: performing semantic matching retrieval on public copywriting data to obtain candidate copywriting; inputting the slot rewriting instruction into a pre-generated language model to generate a first marketing copywriting; performing supervision fine tuning training on a preset basic language model to obtain a first training model; inputting new user product information and promotion requirements to the first training model, generating a second marketing copywriting, scoring the second marketing copywriting and generating evaluation data; constructing a partial sequence training sample according to the evaluation data, taking the partial sequence training sample as a reward signal, and executing reinforcement learning training on the first training model to obtain a second training model; and calling the second training model in the copywriting generation system, and outputting the target marketing copywriting based on the product information and the promotion requirement of the user. According to the method and the device, high-compliance and multi-constraint consistent marketing copywriting batch generation can be realized.

The invention discloses an automatic advertisement creativity generation method and system based on natural language generation. According to the invention, through establishing a keyword and context construction module, a brand semantic modeling and control module, an industry trend extraction module, an advertisement generation engine, a diversity control module and a putting adaptation and post-processing module, automatic generation of advertisement originality is realized. The system firstly receives a keyword and a mood instruction input by an advertiser, and constructs an initial semantic context; and then, coding a brand sample text by utilizing a pre-training model, and generating a brand semantic center vector as a prompt embedding so as to guide the generated content to accord with brand tonality. Meanwhile, through a keyword reservation supervision mechanism, it is ensured that core keywords appear naturally and at high frequency in the process of generating the copywriting. In the generation process, the system also uses a sampling strategy through a diversity control module and uses a semantic vector to remove duplication, and finally outputs diversified and non-redundant high-quality advertisement copywriting.

Along with continuous development of technologies such as deep learning and natural language processing, the AI model shows powerful capabilities in the aspects of understanding user intentions, processing complex information, realizing accurate matching and the like. The large star model is a large AI model which is developed by China Telecom and is based on an advanced Transform architecture. The Transformer architecture obtains significant results in the fields of natural language processing, image recognition and the like due to good expandability and strong performance of the Transformer architecture. When the method is applied to a customer service scene, the large star model can deeply understand the appeal of the user. Through natural language processing and semantic understanding technologies, the model can accurately identify and analyze questions of a user and quickly give corresponding answers or suggestions. In addition, the large star model also has strong copywriting generation ability and knowledge question-answering ability, can provide personalized exchange recommendation and shopping preferential information for the user, and further improves the user experience.

The invention discloses a compliance auditing method, system and equipment for short video copywriting content. The method comprises the following steps: receiving the short video copywriting content input by a user as a copywriting to be audited; performing preliminary detection including sensitive word matching and regular matching on the to-be-audited copywriting to respectively obtain matching results of potential sensitive words and potential illegal contents; marking the position of the potential sensitive word or the potential violation content in the copywriting to be audited, and determining the risk level of the potential sensitive word or the potential violation content; and performing compliance judgment on the potential sensitive words or the potential violation contents meeting the risk level by using a preset violation content judgment model to obtain a compliance judgment result, and generating a compliance detection report according to the compliance judgment result. The auditing efficiency can be improved, and meanwhile, the comprehensiveness and accuracy of auditing are improved through multi-level rule detection.

The invention provides a copywriting recommendation method, system and device and a storage medium, and the method comprises the steps: responding to a received copywriting generation request input by a user, and obtaining topic data related to a target topic from a plurality of data sources according to the target topic matched with the copywriting generation request; generating target prompt information according to a preset prompt information generation mode; respectively inputting the target prompt information and the topic data into a plurality of copywriting generation models to obtain candidate copywriting respectively output by the plurality of copywriting generation models; and determining the candidate copywriting with the highest matching degree with the user and the target topic from the plurality of candidate copywriting as a target copywriting, and recommending the target copywriting to the user. Therefore, on the basis of generating sufficient high-quality candidate copywriting, the target copywriting with the optimal matching degree with the candidate copywriting can be finely distributed to the user, so that the technical defects that copywriting creation lacks diversity and copywriting distribution is not fine enough in the prior art are effectively overcome.

The invention discloses a hierarchical rhythm mapping-driven short video copywriting mood automatic adjustment method, and relates to the technical field of video processing, and the method comprises the steps: 1, receiving a text character string and a language type identifier, and building an occupation column for bearing a tone mark, an accent mark and a duration mark at each level; 2, dividing each sentence into phrase segments based on the hierarchical index table, freezing boundaries by taking the phrase segments as units, presetting sentence end termination styles according to punctuations, determining kernel phrases according to semantic anchor points, initializing trends of the kernel phrases, and performing time sequence elastic alignment and hierarchical backfilling to obtain a sentence end termination pattern; and finally outputting a triple sequence which covers all syllables and is composed of tone marks, accent marks and duration marks as a target rhythm control sequence. And step 3, performing audio generation based on the target rhythm control sequence to obtain new dubbing. According to the method, the tone accuracy and expressive force of short video dubbing are improved, and the time and cost of manual adjustment are remarkably reduced.

The invention relates to an intelligent advertisement putting optimization method based on a novel consumption scene, and the method comprises the following steps: S1, fusing the multi-dimensional behavior data of a user, and carrying out the precise user portrait modeling; s2, dynamically evaluating the mood state and preference change of the user based on semantic and emotion analysis of the staying chapters of the user; s3, automatically labeling an advertisement insertion point through an NLP technology, and dynamically generating a putting strategy; s4: according to the user portrait, the user mood state and the preference change, automatically designing the advertisement content and the emotion adaptive copywriting by using the generative AI; and S5, constructing a stream processing architecture, monitoring and dynamically analyzing the advertisement effect in real time, and automatically triggering pause and adjustment of an advertisement strategy if the user behavior index is abnormal. According to the invention, the click rate and conversion rate of the user can be effectively improved, and the dislike emotion of the user to the advertisement is reduced.

The invention discloses an animation generation method and device, computer equipment and a storage medium, and relates to the technical field of animation generation, and the animation generation method comprises the following steps: according to the dismounting direction of a to-be-dismounted part in a product and the type of a constraint relationship between the to-be-dismounted part and an adjacent part, determining a plurality of dismounting schemes that the to-be-dismounted part accords with the dismounting direction and the constraint relationship is released; the dismounting difficulty and the number of dismounting parts of the dismounting scheme are evaluated, a dismounting rule describing the dismounting sequence is generated, and then a dismounting copywriting which conforms to the dismounting copywriting rule and describes the dismounting rule is generated; according to the method and the device, the disassembly and assembly copywriting is identified, the moving direction instruction and the to-be-disassembled component identifier are acquired, the component carrying the to-be-disassembled component identifier in the three-dimensional model and the action of the manufacturing tool are controlled according to the moving direction instruction, and the disassembly and assembly three-dimensional animation of the product is generated. The technical effect of automatically generating the disassembly three-dimensional animation of the product is achieved.

The invention relates to the technical field of internet advertisement services, and particularly provides an internet advertisement service method and system, and the method comprises the steps: generating a multi-dimensional dynamic feature vector; according to the combination and weight of the three types of core features in the multi-dimensional dynamic feature vector, dynamically selecting and synthesizing audio-visual materials and information copywriting matched with the combination and weight from the creative element library to form a personalized advertisement creative instance; when the personalized advertisement creative instance is displayed and triggers a deep interaction behavior event defined by an interaction tracking mechanism, capturing the deep interaction behavior event and specific parameters thereof, and encoding the deep interaction behavior event into a real-time feedback data stream; the scene-feedback feature vectors are used for adjusting element selection rules and synthesis logic parameters in the creative element library in real time, and a new round of generation and delivery of personalized advertisement creative instances is driven. The system comprises a vector analysis module, a creative instance module and a real-time feedback module. According to the invention, closed-loop optimization of advertisement creative generation and delivery is realized.

The invention discloses a multi-dimension-based copywriting output method and device and related equipment, and the method comprises the steps: obtaining the input information of a user, and judging the intention of the user based on the input information; if the user intention is a chat intention, generating a topic preference score based on the input information and the historical text information, generating a short-term popularity score based on the input information and the historical text information, generating a topic depth score based on the input information and the historical text information, and generating a marked memory node based on the long-term memory content; generating a comprehensive strategy score based on the topic preference score, the short-term popularity score, the topic depth score and the marked memory node; determining a target topic node based on the comprehensive strategy score; and outputting copywriting information corresponding to the input information based on the target topic node. By adopting the method, the natural language conforming to the context logic and the user preference can be output based on the copywriting input by the user, and the intelligent dialogue experience of the user is improved.

The invention discloses a turn-on advertisement turn-off processing method and device based on artificial intelligence customer service and a server, and belongs to the technical field of artificial intelligence processing, and the method comprises the steps: receiving a turn-on advertisement turn-off instruction inputted by a user through a preset customer complaint feedback page of the artificial intelligence customer service; automatically displaying the preset saved copywriting; when an instruction that the user insists to close the startup advertisement is received again, controlling to automatically establish remote connection between the server side and the user television terminal according to a screen connection code input by the user, and acquiring a physical address of the user television terminal; controlling to automatically shield the start-up advertisement of the user television terminal corresponding to the physical address according to the instruction that the user insists to close the start-up advertisement; and displaying a startup advertisement closing message through a customer complaint feedback page, and prompting to restart the television. According to the method, the AI customer service is adopted to automatically reply the user, so that the intention of the user can be better identified, a more reasonable pacifying skill is given, the reply efficiency is improved, and the labor cost is reduced.

The invention relates to an editing strategy scheduling method and device, an electronic device and a storage medium, and the method comprises the steps: receiving an original material, a copywriting and an editing style instruction inputted by a user, and generating a corresponding dubbing audio according to the copywriting; performing multi-dimensional analysis on the original material to generate a lens-level structured index; performing semantic analysis on the copywriting to obtain copywriting semantic features; performing similarity retrieval based on the copywriting semantic features and the multi-modal semantic features of the materials to obtain a candidate shot set matched with the copywriting semantic features; generating a global style vector and a target rhythm curve through the first agent; and taking the global style vector and the target rhythm curve as control signals, driving a second agent to select and trim shots from the candidate shot set, recombining the editing sequence, and outputting a final editing sequence and an editing jump point structure. According to the style vector, the rhythm target curve and reinforcement learning, the editing style is met, and the intelligent agent editing stylized presentation is achieved.

The embodiment of the invention discloses a digital human broadcast video generation method, electronic equipment, a medium and a program product, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring content information of to-be-broadcasted content of a target digital person; performing semantic analysis on the content information, and determining a time axis and a logic relation of a to-be-generated target video according to a semantic analysis result; determining a content description corresponding to each sub-mirror, and displaying the content description of each sub-mirror based on the time axis and the logical relationship; the content description comprises at least one of the following items: picture description, copywriting content and a shot type; and in response to a processing instruction of a target user for each display result, generating a target video containing the target digital person. According to the scheme of the embodiment of the invention, the digital human broadcast video can be quickly and accurately generated, and the efficiency and practicability of digital human video creation are improved.

The invention discloses a commodity advertisement generation method and device, a storage medium and a product, and relates to the technical field of advertisement generation, and the commodity advertisement generation method comprises the steps: obtaining commodity information of a target commodity of which an advertisement needs to be shot and a plurality of shot videos, inputting the commodity information, the shot video, a preset cue word framework and a preset commodity introduction case into a preset content generation model to obtain multiple segments of target commodity copywriting and multiple target commodity videos, matching the multiple target commodity copywriting and the multiple target commodity videos one by one based on a preset content matching model, and obtaining a matching result of the multiple target commodity copywriting and the multiple target commodity videos; and obtaining the matched target commodity advertisement. According to the method and the device, only the commodity related information and the prompt words need to be input into the model, the commodity copywriting and the video, and the copywriting and the video can be automatically matched to obtain the matched advertisement, so that the copywriting and the video do not need to be manually matched. Therefore, the manufacturing efficiency of the commodity advertisement can be improved.

The embodiment of the invention provides a user interface defect image generation method, a model training method, a user interface defect detection method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of image processing. The method comprises the steps that segmentation information, element information and copywriting information of a screenshot of a user interface are obtained, the segmentation information is used for indicating a segmentation area corresponding to each pixel in the screenshot, different segmentation areas represent different control elements, and the element information indicates a reference area, in the screenshot, of each control element in the user interface; the copywriting information indicates a copywriting area of each copywriting in the screenshot; and respectively processing the screenshots through the construction mode of the at least one user interface defect image and the target information required by the corresponding construction mode to obtain the user interface defect image of the at least one defect type. User interface defect images of various defect types can be generated without limiting the number, and the problem that the number of model samples is small is solved.

The application provides a marketing copy automatic generation method and device based on reinforcement learning and a storage medium. The method comprises the following steps: performing semantic matching retrieval on public copy data to obtain a candidate copy; inputting a slot rewriting instruction into a pre-generated language model to generate a first marketing copy; performing supervised fine-tuning training on a preset basic language model to obtain a first training model; inputting new user product information and promotion requirements into the first training model to generate a second marketing copy, scoring the second marketing copy and generating evaluation data; constructing a partial order training sample according to the evaluation data, taking the partial order training sample as a reward signal, performing reinforcement learning training on the first training model to obtain a second training model; and calling the second training model in a copy generation system and outputting a target marketing copy based on user product information and promotion requirements. The application can realize batch generation of marketing copies with high compliance and consistent constraints.

The present invention provides a content generation method, device, electronic device and storage medium, the method comprising: obtaining hot events according to a preset time period; performing multi-level risk factor identification on the hot events to determine hot events containing risk factors; for each hot event predicted to have risk factors, calculating the public attention score of the hot event based on the sentiment vector and topic vector of the hot event; when it is determined that the public attention score of the hot event is greater than a preset score threshold, determining the product information of the hot event based on the risk information corresponding to the hot event; constructing corresponding copy content based on the title, document content, product information, and materials of the hot event. Then, the corresponding copy content is generated. Thus, the corresponding marketing content is accurately and quickly generated.

The invention discloses a short message copywriting optimization method and device, a storage medium and an electronic device.The method comprises the steps that a preset text is input, and the preset text at least comprises one of a text containing feature description of a to-be-delivered product and a to-be-optimized short message original text; according to a pre-trained language model, outputting a short message text obtained according to the text containing the feature description of the to-be-delivered product, and / or outputting an evaluation result for the to-be-optimized short message original text obtained according to the to-be-optimized short message original text; and obtaining an optimized short message copywriting according to the short message text and / or the short message original text evaluation result. According to the invention, optimization and evaluation of the short message copywriting are realized.

Provided in the embodiments of the present disclosure are a method and apparatus for generating copy in an advertisement style, and an electronic device and a medium. The method comprises: acquiring source data associated with a target advertisement; using a trained generative model to generate, from the source data, candidate copy of a target element in an advertisement style; performing post-processing on the candidate copy, so as to acquire available copy for the target element; and delivering the target advertisement to a user equipment, wherein the target advertisement is displayed on the user equipment on the basis of the advertisement style, and at least one piece of copy among the available copy is displayed on the target element in the advertisement style.

The invention provides an automatic copywriting generation system based on an AIGC model, which relates to the field of copywriting generation and comprises a style selection module, an information input module and a copywriting generation module. The selection and reservation module comprises an identification module, a statement generation module and a confirmation module, the identification module is used for identifying key statements, and the statement generation module generates a plurality of statements which have the same semantics with the identification statements but different expression forms with the identification statements for the identification statements; when the identification statement is selected, a plurality of statements in different expression forms and requirement options are popped up, and the confirmation module selects to use the original identification statement or use one popped-up statement or use the combination of the plurality of statements. According to the automatic copywriting generation system based on the AIGC model, the unsatisfied statement part in the copywriting can be independently adjusted and revised, the use flexibility of the automatic copywriting generation system is improved, and the finalizing efficiency of the copywriting is improved.

The utility model relates to the field of construction warning devices, in particular to a warning colored ribbon for municipal construction. The device is characterized in that a supporting column is vertically and fixedly arranged at the center of the upper surface of the base, a supporting plate is fixedly arranged at the top of the supporting column, an air blower is arranged on the upper surface of the supporting plate, air holes of the air blower penetrate through the supporting plate and are connected with a ventilation pipe, and the other end of the ventilation pipe penetrates through the center of the upper surface of an exhaust fan; a warning assembly is arranged below the exhaust fan, one side of the exhaust fan is fixedly connected with a first fixing plate, and the other end of the first fixing plate is hinged to a second fixing plate through a hinge. Different angles of the warning colored ribbons are adjusted through the hinges and the sliding seats, various risks caused by angle defects are avoided, 180-degree different angles of the warning colored ribbons can be achieved due to hinge joint of the hinges, different warning patterns or copywriting can be arranged on the warning colored ribbons to cope with different municipal construction conditions, and the warning colored ribbons are convenient to use. Therefore, the risk of construction accidents is reduced.

The invention discloses a copywriting modification method and device, a terminal and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the steps of generating a second evaluation standard for an initial copywriting and a first evaluation standard through a copywriting evaluation model; evaluating the initial copywriting according to the second evaluation standard to obtain a target evaluation opinion; and generating a target modification opinion based on the target evaluation opinion. According to the document evaluation model, the initial first evaluation standard is supplemented and perfected, and a more comprehensive second evaluation standard is generated. The initial copywriting is evaluated based on the second evaluation standard, accurate target evaluation opinions can be output to clarify specific problems existing in the copywriting, targeted target modification opinions are generated according to the target evaluation opinions, and automatic modification of the copywriting can be achieved. The problems that the manual modification level is difficult to keep consistent and the cost is high are solved.