10 results about "Web news" patented technology

Systems and methods are disclosed for market research and social media categorization solutions and methods that are capable of using data from existing social networks, news or reference resources, and other information systems to automate the process of grouping data items into labeled categories by topic. These embodiments can extract greater market insight from available data sources, provide greater predictive value to marketing or sales strategies, and save money by being more efficient or easier to implement into existing systems

The invention belongs to the technical field of false information spreading and screening, and particularly discloses and provides a network news false information spreading and screening method, which comprises the following steps: screening key evaluation dimensions based on historical data, determining weights, generating evaluation rules, and determining the weight of each evaluation rule; determining a conventional or emergency monitoring mode according to the amplification of the forwarding quantity of the information to be screened and the number of matched words in a preset keyword library, identifying an initial publishing source through a propagation path, evaluating source authority, content consistency and propagation abnormality in the conventional mode, and outputting comprehensive credibility; in the emergency mode, the emergency credibility is directionally and rapidly evaluated and output, and finally, the credibility is matched with the early warning interval to obtain an early warning level; according to the method, the source authority is assessed based on the source information, the content consistency is judged through the text content, the propagation abnormality is assessed through the propagation data, the comprehensive credibility is output in combination with the assessment dimension rule, and multi-dimensional collaborative assessment of the source, the content and the propagation is achieved.

The present invention discloses a method for arranging and generating information data analysis reports based on a large model, which relates to the field of technical information retrieval, and comprises the following steps: establishing a comprehensive sample database of online news; performing semantic recognition and screening of the comprehensive sample of online news to obtain topic information parameters of the comprehensive sample of online news; performing scene vector analysis on the topic information parameters to obtain the subject scene vector of the comprehensive sample of online news; determining hot search topic information parameters, analyzing the keyword change trend in the hot search topic information parameters, and evaluating the public opinion trend vector of the hot search subject scene; evaluating the preference index between the comprehensive sample of online news and the hot search topic; and generating a comprehensive report of online news corresponding to the preference index between the comprehensive sample of online news and the hot search topic. The advantages of the present invention are: improving the manuscript production efficiency of news editors and improving the quality of news content.

The invention relates to an enterprise public opinion monitoring processing method and device based on archived big data, computer equipment and a storage medium. The method comprises the steps of obtaining to-be-processed information related to a target enterprise; preprocessing the to-be-processed information to obtain at least one group of topic events and public opinion data and credit data corresponding to the topic events, and determining hot events in the topic events; performing public opinion emotion prediction on the public opinion data and credit value prediction on the credit data according to the hot events, respectively obtaining corresponding prediction results, fusing the prediction results by utilizing an attention mechanism, and calculating to obtain an attention value between a public opinion emotion tendency value and a credit value prediction value; and according to the attention value, performing big data matching from a preset public opinion archive library to extract a corresponding guide scheme. The topic event and the public opinion development situation of the target enterprise company are found from the network news, and the trend of the network public opinion can be timely and correctly mastered, so that the public opinion development of the event is controlled, or the investment strategy is timely adjusted according to the public opinion development.

The invention discloses a multi-view comparative learning recommendation method fusing semantic perception. The multi-view comparative learning recommendation method comprises the steps of semantic feature preprocessing, semantic perception view generation and semantic optimization comparative learning. The system mainly comprises four core modules: a semantic feature preprocessing module, a semantic perception view generator, a semantic optimization comparison learning module and a collaborative optimization recommendation generation module. The method is widely applied to Internet platforms and application systems requiring personalized recommendation services, such as e-commerce, online videos, social networks, news pushing and the like.

The application belongs to the technical field of false information transmission screening, and specifically discloses a network news false information transmission screening method, which comprises the following steps: screening key evaluation dimensions and determining weights based on historical data, generating evaluation rules, determining a regular or emergency monitoring mode according to the transmission amount increase amplitude of the information to be screened and the number of matched words in a preset keyword library, identifying an initial publishing source through a transmission path, evaluating source authority, content consistency and transmission abnormality in the regular mode and outputting a comprehensive credibility, quickly evaluating and outputting an emergency credibility in the emergency mode, and finally matching the credibility with a warning interval to obtain a warning level; the source authority is evaluated based on source information, the content consistency is determined based on text content, and the transmission abnormality is evaluated based on transmission data, and then the comprehensive credibility is outputted in combination with the evaluation dimension rules, so that multi-dimensional collaborative evaluation of the source, the content and the transmission is realized.

The invention provides a news data acquisition and processing method, which comprises the following steps of: constructing and sending an HTTP (Hyper Text Transport Protocol) request for crawling public network news data, and acquiring HTML (Hyper Text Markup Language) response content; analyzing the HTML response content, and extracting a news list according to a set extraction condition; for each piece of news, constructing a URL (Uniform Resource Locator) of a detail page, and obtaining the content of the detail page; extracting news titles, dates and text contents from the detail page contents, and writing the news titles, dates and text contents into a CSV file; and reading news data from the CSV file, performing word segmentation and word frequency statistics, and finally drawing a word frequency comparison broken line graph. According to the invention, news data can be automatically extracted and analyzed, and automatic processing of information data is realized.

The invention discloses an enterprise public opinion index monitoring model which comprises an index library management module, a monitoring enterprise management module, an enterprise monitoring timed task module and a monitoring center. The index library management module is used for acquiring network news text data from a public opinion data source and preprocessing and storing the network news text data; the monitoring enterprise management module is used for analyzing and processing the network important public opinion information preprocessed by the index library management module, and forming a public opinion event level conversion mechanism according to an analysis result of analysis and processing; the enterprise monitoring timed task module is used for monitoring enterprise public opinion data in a timed manner; and the monitoring center list displays enterprise monitoring results. Negative public opinions of enterprises are covered and monitored to the greatest extent and most timely through an informatization system, institution and project default risks are found timely, and the risk management and control efficiency of companies is improved.

The invention provides a method, device and equipment for identifying hot news by adopting artificial intelligence and a storage medium, and belongs to the field of network news data processing. The method comprises the following steps: acquiring news data sources, news categories, platform information, platform information list numerical values and public opinion data of a plurality of news public opinions; determining a plurality of false news public opinions according to the news data source, and screening out each false news public opinion from the plurality of news public opinions to obtain a plurality of real news public opinions; predicting a popularity value of each real news public opinion according to the list numerical value, the public opinion data and the news category; and according to the popularity value of each real news public opinion, determining popularity news. According to the method, the accuracy of determining the hot news can be effectively improved.

The application provides a WHO element extraction method in an English news scene, which comprises the following steps: cleaning and preprocessing data of network news, combining an article title, a lead and an article theme into one text data, and analyzing a tree structure of the text data; extracting all nouns in all noun phrases from a subtree of the text data tree structure, screening core words, recalling a core word set, calculating a characteristic value of each core word, and extracting a first core word in a sorting result as a final core word; expanding the core word into a complete element text, traversing leaf nodes corresponding to the core word, and finding simple sentence nodes in a parent node direction, connecting all texts from the simple sentence nodes to the leaf nodes and then to intermediate links, and finally generating the element text; and the application realizes extraction of WHO elements on multiple news samples, has high accuracy, can improve a recall rate of core words, and can expand a recall set.