39 results about "Web news" patented technology

Provided is a method of generating a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, worldwide patents, news archives, and on-line mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain.

The present invention is applicable to the field of network information processing and provides a field subject-oriented Web news dynamic aggregation method. The method comprises the following steps of: for a field site list pre-defined by a user, according to a subject provided by the user, acquiring a search record list by utilizing a vertical search engine and a meta search engine; performing deduplication on the search record list and identifying a Web news webpage to obtain a news webpage search record list; with a Web information extraction method, acquiring a structured news list from the news webpage search record list; and performing ranking on the structured news list according to a field model to obtain an ordered structured news list, and returning the ordered structured news list to the user as a dynamic aggregation result. According to the field subject-oriented Web news dynamic aggregation method, a multi-source associated Web news set is acquired in real time according to a field and a subject provided by the user, an interactive mechanism where the ranking of the Web news depends on the popularity of the Web news is provided, and the purpose is to provide a convenient and efficient internet information acquisition and sharing mode.

The invention discloses a subject-oriented customized new information extraction system which comprises a news collecting subsystem, a text processing subsystem and a human-computer interaction subsystem, wherein the news collecting subsystem completes the functions of searching related news about related subjects customized by a user and extracting news texts; the text processing subsystem divides the texts into different categories, detects and tracks topics in the content of the texts on that basis, automatically generates abstracts and establishes corresponding indexes; and the human-computer interaction subsystem firstly analyzes the topics, calculates the hot degree of the topics, presents the hot topics in the groups of subjects of the topics for the user in the sequence of hot degree and simultaneously provides topic retrieval, and the user can artificially screen the obtained content and store intelligence obtained by artificially extracting the screened information into an intelligence library. With the system, news on the internet can be comprehensively collected in time and can be automatically detected, classified and tracked, and intelligence required by the user can be extracted from immense network news by exerting the cognitive ability of the user on intelligence.

The invention provides a deep learning-based network news illustration matching detection method. The method comprises the following steps of generating a plurality of descriptions for a news illustration based on deep learning; performing comparison scoring on text content of the generated descriptions for the news illustration and text content of the news. For the part of generating the news illustration descriptions, the news illustration characteristics are extracted by adopting a convolutional neural network, and then the related descriptions of the news illustration are generated by utilizing a natural language model. For the scoring system part, due to the difference in content length and expression modes between the generated picture description and the news text, a solution is provided, and a scoring system is formed by the solution and an improved BLEU algorithm. The scoring system compares and scores the generated picture description and the news text content, and judges whether the picture is consistent with the news content or not through scoring, so that the false information with inconsistent images and texts can be found more quickly and more accurately, the manualauditing time is shortened, the manpower and material resources are saved, and the network environment is purified.

The present invention relates to a user model construction method and recommendation method for webpage news classification recommendation, wherein the user model construction method includes: step S1: loading the user's browsing history, and extracting pictures and text respectively; step S2: according to The extracted pictures are processed separately to obtain the first description feature used to describe each picture; Step S3: According to the extracted text, respectively processed to obtain the second description feature used to describe each paragraph of text; Step S4: The first description feature and the second description feature are combined to obtain the third description feature, and fast clustering is performed to obtain multiple cluster centers; step S5: perform n-gram processing on the third description feature to obtain multiple n-gram units, and n The ‑gram unit is compared with the clustering center, and the n‑gram unit outside the threshold value is discarded; step S6: taking the remaining n‑gram unit as input, constructing and training a wide convolutional neural network to obtain a user model. Compared with the prior art, the present invention has the advantages of accurate recommendation and the like.

The invention relates to a method for automatically generating memorabilia oriented to network news reports, which uses machine learning technology to automatically generate memorabilia of an enterprise or department in a specified time interval. The data can be the existing data set of the enterprise or department, or can be crawled from the network Get news reports related to the company or department. The generation of memorabilia does not require too much manual intervention, and the present invention not only saves a lot of manpower and material resources, but also makes the generation of memorabilia highly efficient in a data-driven manner, and can support various time granularities.

The invention provides a tool for quantitatively analyzing internet news influence based on information retrieval and a method thereof. The tool comprises a webpage content duplication determine module, a relevant information extracting module, a news reprint rate calculating module, a newsletter source website influence determine module, a news recovery rate calculating module and a news influence calculating module, wherein, the webpage content duplication determine module determines whether a webpage is an approximate webpage or not; the relevant information extracting module extracts relevant information in the webpage; the news reprint rate calculating module reprints a website technorati authority value; a news source website and the news reprint rate are found out; the newsletter source website influence determine module determines the popularity index of the news source website to acquire a newsletter source website influence factor; the news response rate calculating module determines a network news recovery rate; and the news influence calculating module calculates the news influence value. The method comprises the following steps: determining that whether the webpage isthe approximate webpage or not; extracting news webpage reprint information and recovery information; calculating the news reprint rate; calculating the recovery rate of the news; calculating the technorati authority of the news source website; calculating the influence factor of the news source website; and calculating the news influence. The quantitative calculating result is combined with qualitative analysis of a user to help the user determine the news influence.