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1227 results about "Keyword extraction" patented technology
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Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. Key phrases, key terms, key segments or just keywords are the terminology which is used for defining the terms that represent the most relevant information contained in the document. Although the terminology is different, function is the same: characterization of the topic discussed in a document. The task of keyword extraction is an important problem in Text Mining, Information Retrieval and Natural Language Processing.
Mobile device and method for generating a control signal
Owner:SAMSUNG ELECTRONICS CO LTD
Speech translation apparatus and computer program product
InactiveUS20090222257A1Natural language translationSpeech recognitionSpeech translationDisplay device
A translation direction specifying unit specifies a first language and a second language. A speech recognizing unit recognizes a speech signal of the first language and outputs a first language character string. A first translating unit translates the first language character string into a second language character string that will be displayed on a display device. A keyword extracting unit extracts a keyword for a document retrieval from the first language character string or the second language character string, with which a document retrieving unit performs a document retrieval. A second translating unit translates a retrieved document into its opponent language, which will be displayed on the display device.
Owner:KK TOSHIBA
Graph-based ranking algorithms for text processing
InactiveUS20050278325A1Improve performanceImprove accuracyDigital data information retrievalSemantic analysisGraphicsWord-sense disambiguation
The present invention provides a method of processing at least one natural language text using a graph. The method includes determining a plurality of text units based upon the natural language text, associating the plurality of text units with a plurality of graph nodes, and determining at least one connecting relation between at least two of the plurality of text units. The method also includes associating the at least one connecting relation with at least one graph edge connecting at least two of the plurality of graph nodes and determining a plurality of rankings associated with the plurality of graph nodes based upon the at least one graph edge. The method can also include a graphical visualization of at least one important text unit in a natural language text or collection of texts. Methods for word sense disambiguation, keyword extraction, and sentence extraction are also provided.
Owner:NORTH TEXAS UNIV OF
System and method for contextual advertisement and merchandizing based on an automatically generated user demographic profile
A computer-implemented system and method for keyword extraction and contextual advertisement generation based on user demographic profile are disclosed. The system in an example embodiment includes a category extraction service to associate product or service category information in an item group related to a host site, and a user demographic profile generator to obtain user interaction information related to a host site, to generate a user demographic profile for each item group, and to identify at least one other item group to which a particular user demographic profile relates.
Owner:EBAY INC
Keyword extracting device
InactiveUS7191177B2Data processing applicationsDigital data information retrievalPattern matchingText mode
A keyword extracting device which extracts keywords collectively and efficiently while improving descriptive property and reusability of the information for keyword extracting. A text data input inputs a text. A pattern processor carries out matching and replacement of a character string based on a pattern in regular expression or its equivalent. A pattern storage stores at least a keyword component pattern representing a character string capable of being a component of a keyword. A keyword component extractor extracts, as keyword components, all character strings which are matched with a keyword component pattern and are not overlapped with each other by using the pattern processor for a text. A keyword candidate set generator generates a keyword candidate set from each keyword. And, a keyword output outputs each keyword candidate of a keyword candidate set as a keyword.
Owner:MITSUBISHI ELECTRIC CORP
System and method for keyword extraction
ActiveUS20070288514A1More interfaceData amountWeb data indexingDigital data processing detailsWeb pageKeyword extraction
A computer-implemented system and method for keyword extraction are disclosed. The system in an example embodiment includes a keyword extraction component to extract relevant keywords from content of a web page, to identify items relevant to the extracted keywords, and to rank the relevant items.
Owner:EBAY INC
System and method for keyword extraction and contextual advertisement generation
A computer-implemented system and method for keyword extraction and contextual advertisement generation are disclosed. The system in an example embodiment includes a keyword extraction service to obtain information related to user activity on a host site and to extract relevant keywords from content of a web page, the information related to user activity on the host site being used to determine relevancy of the extracted keywords, and a contextual advertiser to produce an advertisement placement on an affiliate web page, the produced advertisement placement being relevant to user activity on the host site.
Owner:EBAY INC
System and method for application programming interfaces for keyword extraction and contextual advertisement generation
InactiveUS7831586B2Web data indexingDigital data processing detailsApplication programming interfaceApplication software
A computer-implemented system and method for keyword extraction and contextual advertisement generation are disclosed. The system in an example embodiment includes a keyword extraction service to receive from a consumer application a request for activation of a keyword extraction service via an application programming interface, the request including an identity of a content source, the request further including an identification of a particular extraction process to be used by the keyword extraction service on the identified content source; determine if the keyword extraction service has already processed the identified content source and retained extracted keywords in a data store; extract keywords from the identified content source using the particular extraction process identified in the request; and make the extracted keywords accessible to the consumer application.
Owner:EBAY INC
System and method for application programming interfaces for keyword extraction and contextual advertisement generation
InactiveUS20070288431A1More interfaceData amountWeb data indexingDigital data processing detailsApplication programming interfaceApplication software
A computer-implemented system and method for keyword extraction and contextual advertisement generation are disclosed. The system in an example embodiment includes a keyword extraction service to receive from a consumer application a request for activation of a keyword extraction service via an application programming interface, the request including an identity of a content source, the request further including an identification of a particular extraction process to be used by the keyword extraction service on the identified content source; determine if the keyword extraction service has already processed the identified content source and retained extracted keywords in a data store; extract keywords from the identified content source using the particular extraction process identified in the request; and make the extracted keywords accessible to the consumer application.
Owner:EBAY INC
Keyword Extracting Device
InactiveUS20080195595A1Accurate representationAccurate featuresDigital data information retrievalSpecial data processing applicationsFrequency levelCo-occurrence
A keyword extracting device includes high-frequency term extracting means (30) for extracting high-frequency terms which are index terms having a great weight among the index terms in a document group (E) including a plurality of documents (D), the weight including evaluation on the level of an appearance frequency of each index term, clustering means (50) for clustering the high-frequency terms on the basis of a co-occurrence degree C. which is based on the presence / absence of the co-occurrence of each document with the index terms (w) in the document group (E) in each document, score calculating means (70) for calculating a score key(w) of each index term (w) such that a high score is given to the index term among the index terms (w) that co-occurs with the high-frequency term belonging to more clusters (g) and that co-occurs with the high-frequency term in more documents (D), and keyword extracting means (90) for extracting keywords on the basis of the scores. Accordingly, the keywords indicating a feature of a document group including a plurality of documents can be automatically extracted.
Owner:INTPROP BANK CORP (JP)
News keyword abstraction method based on word frequency and multi-component grammar
InactiveCN101196904AEfficient miningWide applicabilitySpecial data processing applicationsPart of speechComputer-aided
A method to extract new keywords based on word frequency and multiple grammars is provided, which belongs to the technology field of a natural language processing, and is characterized by extracting the potential models of part of speech of the multiple grammars of the keywords by researching characteristic part of speech of the keywords and adopting computer to assist excavation and taking the models as the basis of the keywords to extract arithmetic. When extracting the new keywords, firstly excavating the multiple phrases in text in accordance with the potential models of part of speech and extract candidate word set of the keywords, and then excavating potential keywords not loading from titles and add the potential keywords to the candidate keyword set. The application brings forward an improved single text word frequency / inverse text frequency value (tf / idf) format, introduces target-oriented characteristics, grades the candidate keywords, obtains the order of the candidate keywords and gives the keywords of news document after optimizing the results. Compared with the traditional keyword extraction method based on single text word frequency / inverse text frequency value (tf / idf), the method has higher recall rate under the condition of the same precision.
Owner:TSINGHUA UNIV
A method for implementing a question answering system based on a question-answer pair
ActiveCN109271505AImprove accuracyText database queryingSpecial data processing applicationsSorting algorithmSingle best answer
A method for implementing a question answering system based on a question-answer pair comprises the following steps: question analysis, question retrieval and answer selection. After a user submits aquestion expressed in natural language to the question answering system, the question answering system uses question vectorization, keyword extraction, keyword extension and other natural language processing techniques to understand the questioning intent of a user, and then uses the engine searching method in the question-answer pair database to obtain the question-related candidate question-answer pair set, and uses a matching algorithm and sorting algorithm to accurately select the best answer from the candidate sets. The invention obtains the function of the matching degree score between the question and the answer by learning by synthesizing different algorithms and models, the method of choosing the best answer from the candidate question-answer pairs is realized, and an answer selection method based on convolution neural network and Xgboost feature fusion is completed, which provides a better method for the answer selection of the question answering system.
Owner:深圳智能思创科技有限公司
Method for generating a text sentence in a target language and text sentence generating apparatus
InactiveUS20070129935A1Natural language translationSpecial data processing applicationsSentence generationHuman language
By inputting words of source language as a keyword (31), a translation pairs are extracted (50) from a parallel corpus database including source language and target one. From the partially corresponding information on the translation sentence, a corresponding phrase group table formed by the corresponding phase of the target language corresponding to the source language phrase including a keyword phrase f the source language is stored (60). Text generator (70) assumes a relationship between the phrases of different language contained in the corresponding phrase group table and generates a text sentence candidate (32) of the target language.
Owner:NAT INST OF INFORMATION & COMM TECH
Text label extracting method and device
ActiveCN106156204AMeet different granularity retrieval requirementsSpecial data processing applicationsText database clustering/classificationGranularityText categorization
The invention relates to a text label extracting method. The text label extracting method comprises the following steps: category prediction is performed on a to-be-extracted text through a text categorization model, and a target category of the text is obtained; topic prediction is performed on the to-be-extracted text through a topic clustering model, and a predicted topic is obtained; if the predicted topic is in a default topic set, a target topic corresponding to the predicted topic is acquired, keyword extraction is performed on the to-be-extracted text, target keywords of the text are obtained, and the target category, the target topic and the target keywords are taken as labels of the text. The text labels have different levels to meet multi-granularity retrieval requirements, and multi-granularity recommended articles can be provided according to different labels. Besides, the invention provides a text label extracting device.
Owner:SHENZHEN TENCENT COMP SYST CO LTD
Method and device for extracting keyword based on graph model
ActiveCN107122413AAccurate extractionImprove accuracyNatural language data processingNeural learning methodsAlgorithmGlobal information
The embodiment of the invention provides a method and a device for extracting a keyword based on a graph model. The method comprises the steps of acquiring a to-be-processed text, and segmenting words of the to-be-processed text to obtain candidate keywords corresponding to the to-be-processed text; finding out word vectors corresponding to the candidate keywords from a word vector model, wherein the word vector model includes the word vectors of the candidate keyword; constructing a word similarity matrix of the candidate keywords according to the word vectors; acquiring a language database corresponding to the to-be-processed text, calculating global information of the candidate keywords in the language database to obtain a global weight of the candidate keywords, and taking the global weight as an initial weight of the candidate keywords, wherein the global information represents the importance degree of the candidate keywords in the language database, and the language database at least includes a search log and a network document; and ranking the candidate keywords according to the initial weight and the word similarity matrix of the candidate keyword, and extracting the keyword of the to-be-processed text. By use of the embodiment, the keyword extraction accuracy rate is effectively improved.
Owner:BEIJING QIYI CENTURY SCI & TECH CO LTD
Graph-based ranking algorithms for text processing
InactiveUS7809548B2Digital data information retrievalSemantic analysisGraphicsWord-sense disambiguation
The present invention provides a method of processing at least one natural language text using a graph. The method includes determining a plurality of text units based upon the natural language text, associating the plurality of text units with a plurality of graph nodes, and determining at least one connecting relation between at least two of the plurality of text units. The method also includes associating the at least one connecting relation with at least one graph edge connecting at least two of the plurality of graph nodes and determining a plurality of rankings associated with the plurality of graph nodes based upon the at least one graph edge. The method can also include a graphical visualization of at least one important text unit in a natural language text or collection of texts. Methods for word sense disambiguation, keyword extraction, and sentence extraction are also provided.
Owner:NORTH TEXAS UNIV OF
Information communication terminal, information communication system, information communication method, information communication program, and recording medium recording thereof
InactiveUS20090018832A1Devices with voice recognitionFile transfer between terminalsCommunications systemComputer terminal
An information communication terminal (100) that includes: a speech recognition module (6) for recognizing speech information to identify a plurality of words in the recognized speech information; a storage medium (20) for storing keyword extraction condition setting data (24) in which a condition for extracting a keyword is set; a keyword extraction module (8) for reading the keyword extraction condition setting data (24) to extract a plurality of keywords from the plurality of words; a related information acquisition module (11) for acquiring related information related to a plurality of keywords; and a related information output module (14) for providing related information to a monitor (2).
Owner:NIPPON TELEGRAPH & TELEPHONE CORP
Mobile health intelligent medical guide system and method thereof
ActiveCN106557653ARapid diagnosisAccess without geographical restrictionsTherapiesTelemedicineMedical knowledgeDisease
Owner:HEFEI UNIV OF TECH
System and method for semantic video segmentation based on joint audiovisual and text analysis
InactiveUS7382933B2Digital data information retrievalCharacter and pattern recognitionVisual perceptionComputer science
System and method for partitioning a video into a series of semantic units where each semantic unit relates to a generally complete thematic topic. A computer implemented method for partitioning a video into a series of semantic units wherein each semantic unit relates to a theme or a topic, comprises dividing a video into a plurality of homogeneous segments, analyzing audio and visual content of the video, extracting a plurality of keywords from the speech content of each of the plurality of homogeneous segments of the video, and detecting and merging a plurality of groups of semantically related and temporally adjacent homogeneous segments into a series of semantic units in accordance with the results of both the audio and visual analysis and the keyword extraction. The present invention can be applied to generate important table-of-contents as well as index tables for videos to facilitate efficient video topic searching and browsing.
Owner:IBM CORP
Dynamic Keyword Processing System and Method For User Oriented Internet Navigation
InactiveUS20080281816A1Reduce effortShorten the timeSpecial data processing applicationsWeb data retrieval using information identifiersDomain nameWeb site
A system and method are described that enable users to navigate on the web according to use's own keyword definition on web site, keyword extraction and processing from user's visiting website, user's selection on keyword categories, and mapping between E-mail address and URL. The user's own keyword definition on web site is user-driven keyword naming scheme is opposite) method of the keyword domain services which were service company-driven method. The user's selection on keyword categories provides users choice on keyword categories and group. The keyword extraction and processing from user's visiting web site provides keyword extraction from the page and arranges for related keywords in order to prepare for anticipated search and navigation from the user's current web site and keyword. The mapping system between E-mail and URL provides conversion of E-mail address into URL, in order to use as domain name.
Owner:METANAV CORP
Theme word vector and network structure-based theme keyword extraction method
ActiveCN108052593AEfficient discoveryThe result is accurateCharacter and pattern recognitionSpecial data processing applicationsNetwork structureDocumentation
The invention discloses a theme word vector and network structure-based theme keyword extraction method, and particularly relates to the technical field of extracting keywords from texts. The theme word vector and network structure-based theme keyword extraction method comprises the following steps of: carrying out theme clustering on a text corpus on the basis of an LDA theme model, and obtaining100 keywords, relevancies of which with each theme are top 100 in the theme; expressing each word in the text corpus as a word vector by utilizing word2vec, obtaining a semantic similarity between every two words through calculation, and respectively calculating 5 words, semantic similarities of which with each keyword in the keywords are top 5, wherein the keywords and the words, the semantic similarities of which with each keyword are top 5 form a new keyword set; and constructing a keyword network and obtaining the top 20 words in each set to serve as keywords of the theme. According to the method, keywords which have relatively high word frequencies in documents can be extracted, and keywords which have relatively word frequencies and are strongly associated with themes can be effectively discovered.
Owner:SHANDONG UNIV OF SCI & TECH
Keyword extraction method and apparatus
InactiveCN105893410AImprove accuracySemantic analysisText database indexingPattern recognitionMachine learning
Embodiments of the invention provide a keyword extraction method and apparatus. The method comprises the steps of performing word segmentation on a text by utilizing a word segmentation device to obtain words and filtering the words to obtain candidate keywords; calculating the similarity between any two candidate keywords; according to the similarity, calculating a weight of each candidate keyword, and according to a preset corpus, calculating an inverse document frequency of the candidate keyword; and according to the weight and the inverse document frequency of the candidate keyword, obtaining a key degree of the candidate keyword, and according to the key degree of the candidate keyword, selecting a keyword. Therefore, the accuracy of keyword extraction is improved.
Owner:LETV INFORMATION TECH BEIJING
Judgement document-based structured processing method
ActiveCN108197163AAccurate extractionGuaranteed correctnessCharacter and pattern recognitionSpecial data processing applicationsCluster algorithmTyping Classification
The invention relates to a judgement document-based structured processing method. According to the method, a natural language processing technology and an advanced machine learning technology are adopted to automatically realize case type classification on the basis of keyword extraction of brief texts, so that structured processing is carried out through constructing case hierarchical structuresand designing an extraction rule. Through constructing and extending a related lexicon, segmenting a judgment document module, designing and determining a cluster number K and an initial cluster center, and taking an increment of a word weight as second feature selection, the improvement of a kmeans cluster algorithm is realized, and class labels of cases are obtained; and through creating different hierarchical frameworks according to different case types and combining the designed extraction rule, structured processing of judgement documents is obtained. The method is capable of rapidly realizing the structured processing of judgement documents.
Owner:上海银江智慧智能化技术有限公司
System and method for keyword extraction and contextual advertisement generation
A computer-implemented system and method for keyword extraction and contextual advertisement generation are disclosed. The system in an example embodiment includes a keyword extraction service to obtain information related to user activity on a host site and to extract relevant keywords from content of a web page, the information related to user activity on the host site being used to determine relevancy of the extracted keywords, and a contextual advertiser to produce an advertisement placement on an affiliate web page, the produced advertisement placement being relevant to user activity on the host site.
Owner:EBAY INC
Deep learning based intelligent skin disease auxiliary diagnosis system
ActiveCN108198620AImprove accuracyAccurate identificationMedical communicationMedical data miningDiseasePattern recognition
The invention relates to a deep learning based intelligent skin disease auxiliary diagnosis system, which comprises a classifier training unit, a language model unit and an intelligent auxiliary diagnosis unit. The intelligent auxiliary diagnosis unit comprises an image acquisition module, a voice interrogation module, a voice recognition and keyword extraction module, a probability classificationmodel, a RNN condition analysis module and a fusion classifier. The classifier training unit comprises a state diagram training set under a dermatoscope, a state standard database under skin lesion and dermatoscope, a CNN network convolution module and a sampling and classifying module. The language model unit comprises a medical term standard library, a RNN questioning management module, a RNN chief complaint management module and a skin disease medical knowledge base. The auxiliary diagnosis system has advantages that by deep learning for classifying skin lesion images, probable results areinferred, then a pre-installed dermatoscope image and histodiagnosis tag database is retrieved for doctors' reference, and accordingly accuracy in skin disease diagnosis can be greatly improved.
Owner:洛阳飞来石软件开发有限公司
Keyword outputting apparatus and method
A keyword analysis device obtains word vectors represented by the documents by analyzing keywords contained in each of documents input in a designated period. A topic cluster extraction device extracts topic clusters belonging to the same topic from a plurality of documents. A keyword extraction device extracts, as a characteristic keyword group, a predetermined number of keywords from the topic cluster in descending order of appearance frequency. A topic structurization determination device determines whether the topic can be structurized, by segmenting the topic cluster into subtopic clusters with reference to the number of documents, the variance of dates contained in the documents, or the C-value of keyword contained in the documents, as a determination criterion. And a keyword presentation device presents the characteristic keyword group in the subtopic cluster upon arranging the keyword group on the basis of the date information.
Owner:KK TOSHIBA
Keyword extracting device
InactiveUS20020042794A1Data processing applicationsDigital data information retrievalPattern matchingReusability
The object of the present invention is to obtain a keyword extracting device which extracts keywords collectively and efficiently while improving descriptive property and reusability of the information for keyword extracting. A keyword extracting device of the present invention comprises text data input means for inputting a text, pattern processing means for carrying out matching and replacement of a character string based on a pattern in regular expression or its equivalent, pattern storage means having at least a keyword component pattern representing a character string capable of being a component of a keyword, keyword component extracting means for extracting, as keyword components, all character strings which are matched with a keyword component pattern and are not overlapped with each other by using the pattern processing means for a text, keyword candidate set generating means for generating a keyword candidate set from each keyword component, and keyword output means for outputting each keyword candidate of a keyword candidate set as a keyword.
Owner:MITSUBISHI ELECTRIC CORP
Deep learning-based text keyword extraction method
InactiveCN106095749AImplement extraction tasksNatural language data processingSpecial data processing applicationsStochastic gradient descentData mining
The invention discloses a deep learning-based text keyword extraction method. The method comprises the following steps of: firstly training a recurrent neural network model, wherein the used training data comprise a large amount of texts and keywords thereof, and the training target is maximizing text-based condition probability of the keywords; converting each text and the keyword thereof into word vectors, inputting the word vectors into the recurrent neural network model and updating network parameters by using a random gradient descent method; and after the model training is finished, converting a section of text, the keyword of which is to be extracted, into a word vector, inputting the word vector into the trained recurrent neural network model so as to generate the keyword of the section of text. According to the method disclosed by the invention, the extraction of text keywords is realized by learning an end-to-end model through data driving; and compared with the traditional statistics and linguistics-based method, the method disclosed by the invention is stronger in adaptability, and can be used for obtaining different models according to different training data so as to extract keywords according to the requirements of specific fields.
Owner:杭州量知数据科技有限公司
Topic feature text keyword extraction method
InactiveCN108763213AReduce the influence of human subjective factorsReduce workloadNatural language data processingSpecial data processing applicationsPart of speechAlgorithm
The invention discloses a topic feature text keyword extraction method. Through the method, text keyword extraction results better than those of a traditional TF-IDF method can be obtained. Accordingto the technical scheme, at a training stage, word segmentation, stop word removal, part-of-speech filtering and other preprocessing are performed on a training text, statistical analysis is performedon inverse document frequency of words, meanwhile a topic model method is utilized to learn and obtain a topic probability matrix of the words, normalization processing is performed, topic distribution entropy of the words is calculated according to the topic probability matrix of the words, global weights of the words are calculated in combination with the inverse document frequency and the topic distribution entropy, and global weight calculation results are output to a test stage; and after a test text is preprocessed, statistical analysis is performed on normalized term frequency of wordsin the test text, the normalized term frequency is combined with the global weight calculation results obtained at the training stage, comprehensive scores of the words are calculated are ordered, and a plurality of words with the highest scores in the score order are used as automatic keyword extraction results of the current test text.
Owner:10TH RES INST OF CETC
System and method for recommending application by using keyword
InactiveUS20130138674A1Guaranteed uptimeDigital data information retrievalDigital data processing detailsKeyword extractionData mining
A system and method for recommending an application by using a keyword. A keyword-based application recommending user terminal includes a keyword extraction unit for extracting a keyword from an application that is running, a recommended application determination unit for determining an application to be recommended to correspond to the extracted keyword and a display unit for displaying the determined application.
Owner:SAMSUNG ELECTRONICS CO LTD
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