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39 results about "Web news" patented technology
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Cross-medial personage news searching method and system capable of fusing multi-mode information
InactiveCN103425757AImprove operational efficiencyCalculate clustering results in real timeCharacter and pattern recognitionSpecial data processing applicationsData ingestionFeature extraction
The invention belongs to the technical field of multi-media information searching and news searching, and particularly relates to a cross-medial personage news searching method and system capable of fusing multi-mode information. The searching method includes the steps of obtaining multi-mode news information on the internet, extracting names of news figures to obtain textural features of news, extracting facial images of the news figures to obtain image features of the news, conducting network information supplement on the rarely-seen news figures, conducting name-image alignment cluster learning on the news figures, and achieving searching for faces of the figures and searching for the names of the figures. The searching system comprises six modules corresponding to the steps of the searching method respectively. The cross-medial personage news searching method and system capable of fusing the multi-mode information can well solve the problem of network news name-face alignment and solve the problem of searching for personage news accordingly. The two problems have significance in the multi-medium information searching field and the news searching field, and the cross-medial personage news searching method and system capable of fusing the multi-mode information have wide application value.
Owner:FUDAN UNIV
Subject-oriented customized news information extraction system
ActiveCN102831220AAvoid crawlingShorten the timeSpecial data processing applicationsSubject matterThe Internet
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.
Owner:JIANGSU R & D CENTER FOR INTERNET OF THINGS
Multi-information fusion microblog hot topic detection method
InactiveCN103294818AEasy to detectImprove performanceSpecial data processing applicationsAlgorithmMicroblogging
The invention discloses a microblog hot topic detection method based on multi-information fusion. Firstly, influences of a blogger is calculated according to social relations of a microblog promulgator, and a sum of weights of a feature word in all microblogs in a given time period is further calculated based on influence information of the blogger and frequency information of the feature word; then a sudden feature word is detected according to information of the sum of the weight of the feature word along with time changes, microblog data are expanded by introducing Web news linguistic data to calculate an incidence relation valve between sudden features, and an association graph of the sudden feature word can be further constructed; finally, the association graph of the sudden feature word is divided, each strong connected subgraph indicates a topic, and accordingly detection on a microblog hot topic can be achieved. The microblog hot topic detection method comprehensively uses microblog feature word information, blogger social relation information and relative Web news document information to detect the microblog hot topic, and improves detection efficiency of the microblog hot topic.
Owner:BEIHANG UNIV
Quantitative analysis tools and method for internet news influence based on information retrieval
InactiveCN101409634AJudgment sizeQuantitative analysis is validData switching networksSpecial data processing applicationsRelevant informationThe Internet
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 is the 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.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Automatic Cloud Provisioning Based on Related Internet News and Social Network Trends
An embodiment of the invention provides a system and method for managing computing resources in a cloud computing environment, wherein the system includes a data analysis module connected to a processor. The data analysis module predicts the demand for the computing resources, wherein the demand is predicted based on internet user activity. The internet user activity includes: the number of web pages that include at least one select term a predetermined amount of times, the number of times the web pages that include the at least one select term a predetermined amount of times are viewed, and the number of times the select term is entered into an internet search engine. The processor increases resource capacity in the cloud computing environment when the predicted demand is above a first threshold. The processor decreases resource capacity in the cloud computing environment when the predicted demand is below a second threshold.
Owner:IBM CORP
Negative news recognition method based on emotion calculation and multi-head attention mechanism
The invention discloses a negative news recognition method based on emotion calculation and a multi-head attention mechanism, relates to the technical field of network public opinion monitoring, and solves the technical problem of how to solve the problem that objective negative news is difficult to identify, and the negative news recognition method comprises the following specific steps: (1) collecting and preprocessing network news text data; (2) establishing and expanding a negative emotion seed word bank and calculating the susceptibility; (3) performing vectorization representation, and determining the input of a discrimination model; (4) establishing a negative news discrimination model; and (5) carrying out negative news recognition. According to the method, the problem that the negative news is difficult to identify is effectively solved, and a good effect is achieved in the aspects of recognition accuracy and effectiveness of the negative news text.
Owner:BEIJING INFORMATION SCI & TECH UNIV
Scientometric Methods for Identifying Emerging Technologies
ActiveUS20140006332A1Knowledge representationSpecial data processing applicationsTechnology readinessData set
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.
Owner:UT BATTELLE LLC
Network news outline extraction method
ActiveCN106021442AReduce storage requirementsImprove storage efficiencyBiological neural network modelsNatural language data processingStorage efficiencyTextual information
The invention provides a network news outline extraction method. The method comprises the following steps: firstly obtaining network news, extracting a keyword from characters in the network news on the basis of a Chinese vocabulary chain, and carrying out picture classification on the basis of a deep learning method; establishing a news ID and storing the news; and comparing the news. According to the network news outline extraction method, a key abstract is extracted according to Chinese information in the network news and the news pictures are classified to form the news ID, so that one piece of news corresponds to one news ID, the storage requirement of the system is greatly reduced and the storage efficiency is improved. Through the unceasing real-time updating of a mentioned news library and provided functions such as rapid query and addition, the news retrieval efficiency is improved, the workload of checking and evaluating the news by the workers is greatly reduced, and effective news screening ancillary work is provided.
Owner:JIANGSU UNIV
Online Web news content extraction system
ActiveCN105740370AImprove versatilityReduce the burden onWeb data indexingWebsite content managementWeb newsContent extraction
The invention relates to an online Web news content extraction method. The method comprises the following steps: obtaining a DOM tree of an extracted Web news webpage; traversing the DOM tree to construct a text node information sequence and a label path information sequence; calculating a label path characteristic value sequence; fusing the label path characteristic value sequence by a weighted DS evidence theory to obtain a label path comprehensive characteristic value sequence; constructing a text node comprehensive characteristic value sequence; and extracting the text content of the Web news webpage according to the text node comprehensive characteristic value sequence. The invention furthermore discloses an online Web news content extraction system which consists of an analysis module, a calculation module, a fusion module and an extraction module. The label path characteristics are not based on templates of the webpages and have diversity, and the whole extraction process only comprises simple mathematical elements, so that massive heterogeneous Web news webpages can be effectively extracted online.
Owner:HEFEI UNIV OF TECH
Online public opinion monitoring and early warning method
PendingCN112434226AImprove accuracyData processing applicationsWeb data indexingSocial mediaThe Internet
The invention discloses an online public opinion monitoring and early warning method which comprises the following steps: directionally collecting data of online news, forums and social media disclosed in the Internet by utilizing an online public opinion data acquisition module; cleaning, converting and processing the collected data through a data processing module, and converting the unstructured data into semi-structured or structured data; carrying out natural language processing on the processed data and carrying out data mining by using an artificial intelligence technology through a network public opinion data analysis module to discover and identify public opinion hotspots, sensitive topics and / or risk topics; visually displaying the public opinion monitoring analysis result through a visualization module, and outputting a public opinion analysis result chart and / or a public opinion analysis report; sending early warning information to a user through a network public opinion real-time early warning module according to an early warning rule set by the user. The accuracy of public opinion monitoring can be improved.
Owner:易研信息科技有限公司
A Bayesian network-based method for analyzing the relationship between characters in web news data
ActiveCN109508385AEfficiently describe indirect dependenciesDescribe indirect dependenciesMathematical modelsInference methodsInformation resourcePrecision marketing
The relationship extraction and dependency analysis between people and entities can provide strong support for public opinion dissemination, recommendation system, precision marketing and other fields. In reality, many people are not directly related to each other, but indirectly related to each other through other entities. Existing methods can only determine a small number of predefined relationship types, and cannot achieve quantitative analysis of the relationship between people in the network. The invention introduces the disclosed character entity knowledge base, Using Self-Organizing Mapping Method, Processing high-dimensional and sparse web news data into complete training data, A Bayesian network (BN) is construct to describe dependencies between various entity involved in web news data, This paper focuses on the modeling and analysis of human entity association based on BN, and makes use of the knowledge in the historical web pages and the information in the new web pages tomake quantitative analysis and inference of human relationship, and makes full use of information resources, which effectively improves the accuracy and efficiency of human relationship analysis.
Owner:YUNNAN UNIV
Automatic prediction method of network news expression distribution
ActiveCN101984431ALower confidenceImplement fixesSpecial data processing applicationsFeature extractionAlgorithm
The invention discloses an automatic prediction method of network news expression distribution. The network news expression distribution indicates that multiple network users vote different news expressions to form the news expression distribution after browsing a piece of network news. The invention comprises the following steps: collecting network news data comprising network news samples and news expression user vote data of each sample; utilizing the collected data to carry out keyword selection and extracting the characteristics of each new sample; utilizing a probability label propagation algorithm to modify the distribution of the vote data; and automatically predicting the news expression distribution of a new network news sample by utilizing a machine learning algorithm based on instances. The automatic prediction method of the invention can be applied to predict the news expression analysis of network news and the news expression distribution of a new network news sample.
Owner:人民中科(北京)智能技术有限公司
Network news hotspot mining method and device
PendingCN111198946AClustering is fastNatural language data processingSpecial data processing applicationsCluster algorithmFeature extraction
The embodiment of the invention provides a network news hotspot mining method and device, and the method comprises the steps: carrying out preprocessing of original network news data to acquire network news information; extracting text feature vectors in the network news information through a bilingual LDA topic model and a bilingual LSA model; and according to the text feature vector in the network news information, performing parallel operation on a Spark platform by utilizing a Single-Pass clustering algorithm to obtain news hot topic information. According to a text feature extraction method based on combination of the bilingual LDA model and the bilingual LSA model, entity information with high distinction degree for each topic is contained in the topic model; according to the networknews hot spot mining method, the semantic relation between text contexts is also considered, and the Spark-based parallelization Single-Pass clustering algorithm is utilized, so that the clustering speed is increased, and the network news hot spot mining is more effectively and accurately realized.
Owner:BEIJING UNIV OF POSTS & TELECOMM
Social network false news detection method and device
PendingCN114756763ATimely detectionPlay a supporting roleData processing applicationsCharacter and pattern recognitionFeature extractionNetwork model
The invention discloses a social network false news detection method and device. The method comprises the following steps: obtaining character elements and image elements of social network news data; carrying out text feature extraction on the preprocessed news character elements by adopting a Bi-LSTM neural network model; performing visual feature extraction on the news image elements by adopting a VGG-19 neural network model, and performing post-processing; performing mutual fusion on the text features and the image features by using a dot product type attention mechanism to sequentially obtain corrected text features and corrected visual features; performing time-level self-attention fusion on the corrected text features at different moments to obtain ultimate text features; carrying out space-level self-attention fusion on the corrected visual features of different positions to obtain ultimate visual features; and after the ultimate text features and the ultimate visual features are spliced, a full connection layer neural network model with softmax is input, so that false news can be detected in time.
Owner:NORTH CHINA UNIVERSITY OF TECHNOLOGY
Text generation method and device based on dynamic weight and storage medium
PendingCN113360646ACharacter and pattern recognitionNatural language data processingSearch wordsTime information
The invention discloses a text generation method and device based on dynamic weights and a storage medium, and the method comprises the steps of constructing a hot word library which stores hot search words obtained every a first preset time period and a hot search weight of each hot search word, and the hot search weight of each hot search word is generated according to the frequency parameter of each hot search word and the construction time of each hot search word; receiving any input text; extracting a plurality of subject terms from any text; matching the subject terms with a hot word library to obtain a hot search weight of each subject term; and generating an updated text according to the subject term containing the hot search weight. According to the dynamically weighted news event multi-topic automatic generation method, the corresponding weight is dynamically given to the hot word according to the hot word constructed by incremental automatic search in combination with the frequency information of the word and the hot search time information, and the invention is used for processing quickly updated real-time network news data.
Owner:HUA DATA TECH (SHANGHAI) CO LTD
News-oriented Chinese food safety news event information automatic extraction method
InactiveCN108846018ATime-consuming and laborious to solveSpecial data processing applicationsComputer scienceFood safety
The invention relates to a news-oriented Chinese food safety news event information automatic extraction method comprising the following steps: S1, collecting network news to construct a food news corpus; arranging the domestic geographic information knowledge base and constructing the geographic information knowledge base; collecting the food category information from the network and constructingthe food category knowledge base; S2, performing text classifying of the news corpus of the food news corpus by using the text classification model so as to obtain the food safety news corpus; S3 firstly extracting the event occurrence time in the food safety news corpus; secondly, extracting the event occurrence place in the food safety news corpus by utilizing the geographic information knowledge base; finally, extracting the food name and the category information involved in the food safety news corpus by utilizing the food category knowledge base; S4, counting the extracted time, place and food information; and S5, displaying the time, place and food statistical information by using the visualization technology. The information of three dimensions of the time, the place and the food category of the food safety event can be accurately extracted from the network news, statistics on the information can be performed and finally the statistical result can be visually displayed.
Owner:CHINA AGRI UNIV
Scientometric methods for identifying emerging technologies
Owner:UT BATTELLE LLC
Network data automatic cleaning method and system based on webpage label distribution characteristics
PendingCN112270172AHigh precisionImprove removal efficiencyWeb data indexingCharacter and pattern recognitionDiscriminant modelEngineering
The invention discloses a method and system for automatically cleaning network news data based on webpage label distribution characteristics, and the method comprises the steps of crawling the networknews data through an offline crawler system, namely carrying out tree node analysis on the crawled offline news data, and extracting the attribute information, such as label name, attribute, text, link, etc., in a node; predicting the information of other node blocks through a current node by adopting an idea based on n-gram2vec, obtaining the word embedding information of the label through training, constructing an intelligent model discrimination system based on the pre-trained word embedding information, and determining the leaving of tiled nodes, namely dividing an intelligent model intoa text discrimination model and a picture discrimination model according to the type of an article label, training the two types of models by adopting different feature engineering, finally predicting, and combining the results of the two types of models according to the previous node sequence.
Owner:北京钛氪新媒体科技有限公司
A method for dynamic aggregation of web news based on domain theme
ActiveCN105022827BGood domain correlationIncrease diversityTransmissionSpecial data processing applicationsInformation processingDomain model
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.
Owner:HEFEI UNIV OF TECH
Web news retrieval method based on event analysis
The invention discloses a Web news retrieval method based on event analysis. The Web news retrieval method based on the event analysis comprises the following steps of: setting two types of input frames of an event term Qe and a bound term Qc, and obtaining a query term Q={Qe, Qc}; selecting the title (T), the first paragraph (FP) and the last paragraph (LP) of Web news di to represent di, wherein di={T, FP, LP}; calculating the weight of each part of characteristic term of the di={T, FP, LP}; setting the weight of the characteristic term in the query term to be one; calculating the relevancy R(Q, di) of the query term Q and the news di; and according to the relevancy R(Q, di), carrying out descending order, and outputting a retrieval result. According to the method, the functions of different terms in a query content are distinguished, a computation method for the relevancy of the event query term and the Web news is proposed by combining with an event movement element, the importance of the Web news title and distance between the event term and the bound term, and the retrieval accuracy of the event-type Web news can be obviously improved.
Owner:HUAIHAI INST OF TECH
News public opinion text processing method applying artificial intelligence, server and medium
ActiveCN113157871AImprove analysis efficiencyPrevent crashSemantic analysisText database queryingWeb newsData mining
The invention relates to the technical field of artificial intelligence and text analysis, in particular to a news public opinion text processing method applying artificial intelligence, a server and a medium. The method can map a target network news text and each news reference text to the same standard specification for comparative analysis, determines fragment set correlation between a first standard network news text set and each second standard network news text set according to a correlation coefficient between standard public opinion text fragments stored in advance, so as to obtain news text correlation between the target network news text and each news reference text, therefore, the process of determining the news text relevancy between the target network news text and each news reference text is effectively simplified, the news public opinion text analysis efficiency is improved, and server crash caused by processing a large number of news public opinion texts in some time periods is avoided.
Owner:宿迁硅基智能科技有限公司
Subject-oriented customized news information extraction system
ActiveCN102831220BAvoid crawlingShorten the timeSpecial data processing applicationsSubject matterThe Internet
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.
Owner:JIANGSU R & D CENTER FOR INTERNET OF THINGS
A matching detection method of network news pictures based on deep learning
ActiveCN109885796BScoring accuracy is lowDetailed descriptionWebsite content managementSpecial data processing applicationsImage descriptionWeb news
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.
Owner:INNER MONGOLIA UNIV OF TECH
A Method of Aggregating News Presentation Based on News Recommendation System
ActiveCN107609123BSatisfy the "Theme Requirements AcquisitionImprove reading experienceDigital data information retrievalSpecial data processing applicationsWeb newsData science
The invention discloses a method for aggregated news presentation based on a news recommendation system, characterized in that the news recommendation system includes: a network news topic classification unit, a topic demand generating news list unit, a user interest generating and updating unit, and a user interest generating news list unit and theme news display ratio control unit; the present invention has news reading needs with clear theme requirements for users. When providing news with a specific theme, it also provides other news content that the user is interested in. demand acquisition” and satisfy users’ interest content acquisition; this method can effectively stimulate the brain excitement and improve the user’s reading experience.
Owner:强春娟
User model construction method and recommendation method for web news classification recommendation
ActiveCN107895024BSubjects that meet the classification recommendationsEliminate noisy dataCharacter and pattern recognitionSpecial data processing applicationsEngineeringWeb news
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.
Owner:TONGJI UNIV
A method for automatic generation of memorabilia for network news reports
ActiveCN108595388BImprove production efficiencySave human effortNatural language data processingText database clustering/classificationData setBusiness enterprise
Owner:LESHAN NORMAL UNIV
Map-oriented news multi-scale visualization method
PendingCN113626668AGeocoding results are accurateBrowsing and reading is convenient and efficientWeb data indexingOther databases clustering/classificationEngineeringWeb news
Owner:WUHAN UNIV
Quantitative analysis tools and method for internet news influence based on information retrieval
InactiveCN101409634BJudgment sizeQuantitative analysis is validData switching networksSpecial data processing applicationsRelevant informationThe Internet
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Web news retrieval method based on event analysis
The invention discloses a Web news retrieval method based on event analysis. The Web news retrieval method based on the event analysis comprises the following steps of: setting two types of input frames of an event term Qe and a bound term Qc, and obtaining a query term Q={Qe, Qc}; selecting the title (T), the first paragraph (FP) and the last paragraph (LP) of Web news di to represent di, wherein di={T, FP, LP}; calculating the weight of each part of characteristic term of the di={T, FP, LP}; setting the weight of the characteristic term in the query term to be one; calculating the relevancy R(Q, di) of the query term Q and the news di; and according to the relevancy R(Q, di), carrying out descending order, and outputting a retrieval result. According to the method, the functions of different terms in a query content are distinguished, a computation method for the relevancy of the event query term and the Web news is proposed by combining with an event movement element, the importance of the Web news title and distance between the event term and the bound term, and the retrieval accuracy of the event-type Web news can be obviously improved.
Owner:HUAIHAI INST OF TECH
An Online Web News Content Extraction System
ActiveCN105740370BImprove versatilityReduce the burden onWeb data indexingWebsite content managementWeb newsContent extraction
The invention relates to an online Web news content extraction method. The method comprises the following steps: obtaining a DOM tree of an extracted Web news webpage; traversing the DOM tree to construct a text node information sequence and a label path information sequence; calculating a label path characteristic value sequence; fusing the label path characteristic value sequence by a weighted DS evidence theory to obtain a label path comprehensive characteristic value sequence; constructing a text node comprehensive characteristic value sequence; and extracting the text content of the Web news webpage according to the text node comprehensive characteristic value sequence. The invention furthermore discloses an online Web news content extraction system which consists of an analysis module, a calculation module, a fusion module and an extraction module. The label path characteristics are not based on templates of the webpages and have diversity, and the whole extraction process only comprises simple mathematical elements, so that massive heterogeneous Web news webpages can be effectively extracted online.
Owner:HEFEI UNIV OF TECH
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