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text mining latent semantic analysis

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Tài liệu Báo cáo khoa học: "Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis" ppt

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... 94304chen@fxpal.comAbstractProbabilistic Latent Semantic Analysis (PLSA) models have been shown to pro-vide a better model for capturing poly-semy and synonymy than Latent S eman-tic Analysis (LSA). However, ... Indexing by latent semantic analysis. Jour-nal of the American Society of Information Science,41(6):391–40 7.Chris H. Q. Ding. 1999. A similarity- based probabilitymodel for latent semantic ... the latent class . Asin the analysis above, we assume that the latent classes in the LSA model correspond to the latent classes of the PLSA model. Making the simplify-ing assumption that the latent...
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Báo cáo khoa học:

Báo cáo khoa học: " Extending Latent Semantic Analysis with features for dialogue act classification" pot

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... IllinoisChicago, IL 60607 USAbdieugen@cs.uic.eduAbstractWe discuss Feature Latent Semantic Analysis (FLSA), an extension to Latent Semantic Analysis (LSA). LSA is a statistical method that is ordinar-ily ... dia-logues.1 IntroductionIn this paper, we propose Feature Latent Semantic Analysis (FLSA) as an extension to Latent Seman-tic Analysis (LSA). LSA can be thought as repre-senting the meaning ... as Game, to classifyDAs. The drawback of features such as Game is that FLSA: Extending Latent Semantic Analysis with featuresfor dialogue act classificationRiccardo SerafinCEFRIELVia Fucini...
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Báo cáo khoa học: "Computing Term Translation Probabilities with Generalized Latent Semantic Analysis" pptx

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... methods offer an advantage for doc-ument classification.2.2 Generalized Latent Semantic Analysis We use the Generalized Latent Semantic Analy-sis (GLSA) (Matveeva et al., 2005) to compute se-mantically ... Dumais, Thomas K. Lan-dauer, George W. Furnas, and Richard A. Harshman.1990. Indexing b y latent semantic analysis. Jour-nal of the American Society of Information Science,41(6):391–407.Xiaofei ... es-timate the translation probabilities (Lafferty andZhai, 2001). We use the Generalized Latent Se-mantic Analysis to compute the translation proba-bilities.2.1 Document SimilarityWe propose...
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Báo cáo khoa học: "Extracting a Representation from Text for Semantic Analysis" doc

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... fine-grained semantic rep-resentation of text and an approach to con-structing it. This representation is largely extractable by today’s technologies and facili-tates more detailed semantic analysis. ... 2008.c2008 Association for Computational LinguisticsExtracting a Representation from Text for Semantic Analysis Rodney D. Nielsen1,2, Wayne Ward1,2, James H. Martin1, and Martha Palmer1 ... evaluating its impact. 5 Conclusion We presented a novel fine-grained semantic repre-sentation and evaluated it in the context of auto-mated tutoring. A significant contribution of this representation...
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Tapping into the Power of Text Mining

Tapping into the Power of Text Mining

Cơ sở dữ liệu

... been specifically designed for text mining or — asa subgroup of text mining methods and a typical application of visualization methods— information retrieval.In text mining or information retrieval ... plain text file. Even though, meanwhile several methods exist that try toexploit also the syntactic structure and semantics of text, most text mining approachesare based on the idea that a text ... extract useful patterns. Text mining refers generally to the process of extracting interesting information and knowledgefrom unstructured text. In this article, we discuss text mining as a young and...
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Text mining power ACM05

Text mining power ACM05

Kỹ thuật lập trình

... trends for text mining applications appears to involve the integration of data mining and text mining into a single system. The combination of data and text mining is referred to as “duo -mining ... sets up an alert for text mining , s/he will receive several news stories on mining for minerals, and very few that are actually on text mining. Some of the better text mining tools let users ... support. ã hire and train the right IT professionals. Text mining is an evolving field. New text mining techniques are under development and text mining products are being added to the market regularly....
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Prosodic Aids to Syntactic and Semantic Analysis of Spoken English" ppt

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... noun modifiers. King races may be a perfect noun group in certain context. 117 Prosodic Aids to Syntactic and Semantic Analysis of Spoken English Chris Rowles and Xiuming Huang AI Systems ... dialogue analysis, and dia- logue management must be used to find the most likely interpretation for the input string. We use pragmatics and knowledge of dialogue struc- ture to find the semantic ... other speaker [for more details, see (Rowles, 1989)]. By determining the dialogue purpose of utteranc- es and their domain context, it is then possible to correct some of the insertion and...
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Báo cáo khoa học: "A System for Semantic Analysis of Chemical Compound Names" pdf

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... constraintscorresponding to CHEMorph’s semantic repre-sentation output. This is not a trivial task since itrequires to formalize the IUPAC rules of syntaxand semantics of the relevant morphemes. ... Workshop, pages 36–44,Suntec, Singapore, 4 August 2009.c2009 ACL and AFNLPA System for Semantic Analysis of Chemical Compound NamesHenriette EngelkenEML Research gGmbHSchloss-Wolfsbrunnenweg ... tasks of BioNLP. This paper introducesthe architecture of a system for the syntac-tic and semantic analysis of such names.Our system aims at yielding both the de-noted chemical structure and...
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Báo cáo khoa học:

Báo cáo khoa học: "Semantic Analysis of Japanese Noun Phrases: A New Approach to Dictionary-Based Understanding" doc

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... quiring and structuring semantic informa- tion from text. In Proceedings of COLING- A CL '98. Akira Shimazu, Shozo Naito, and Hirosato No- mura. 1987. Semantic structure analysis of Japanese ... analysis (abbreviated to DBA hereafter) for semantic- role relations. 2. Semantic feature-based analysis (abbrevi- ated to SBA hereafter) for some semantic- role relations and all other relations. ... 4 Analysis Method Once we can arrange the diversity of N1 no N 2 senses as in Table 1, their analysis becomes very simple, consisting of the following two modules: 1. Dictionary-based analysis...
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Báo cáo khoa học:

Báo cáo khoa học: "PARSING VS. TEXT PROCESSING IN THE ANALYSIS OF DICTIONARY DEFINITIONS" pot

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... computational technique of text analysis drawing on an extensive database of linguistic knowledge, e.g., the lexicon, syntax and/or semantics of English; " ;text processing" will ... Collegiate Dictionary (W7) in text generation, information retrieval, and the theory of lexical- semantic relations. This paper describes some of our recent work in extracting semantic information ... combination of text processing with interactive editing. We first used straight text processing to identify synonym references in definitions and reduce them to triples. Our next essay in the text...
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Báo cáo khoa học:

Báo cáo khoa học: "A STRUCTURED REPRESENTATION OF WORD-SENSESIR OR SEMANTIC ANALYSIS" pdf

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... Understanding system are summarized as follows: Text analysis is performed in four steps: morphologic, morphosyntactic, syntactic and semantic analysis. At each step the results of the preceding ... give a brief overview of the text understanding system and its current status of implementatim~. Figure 1 shows the three modules of the text analyzer. a] The Text Analyzer ~de lalcmn =in. ... combination with the other system components. The semantic processor consists of a semantic knowledge base and a parsing algorithm. The semantic data base presently consists of 850 word-sense...
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Báo cáo khoa học:

Báo cáo khoa học: "A Key to Extensible Semantic Analysis" pdf

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... " ;Semantic Memory," in Semantic Information Processing. Minsky, M., ed., MIT Press, 1968. 8. Riesbeck, C. and Schank, R. C., "Comprehension by Computer: Expectation-Based Analysis ... Expectation-Based Analysis of Sentences in Context," Tech. report78, Computer Science Department, Yale University, 1976. 20 Metaphor - A Key to Extensible Semantic Analysis Jaime G. Carbonell Carnegie-Mellon ... dictionary. In this paper, I focus on the problem of augmenting the power of a semantic knowledge base used for language analysis by means of metaphorical mappings. The pervasiveness of metaphor...
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Báo cáo khoa học:

Báo cáo khoa học: "On-Line Semantic Analysis of English Texts" ppt

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... co- ON-LINE SEMANTIC ANALYSIS OF ENGLISH TEXTS 63 ished when templates have been assigned to the frag- ments of a text. More than one template may still be attached to some text fragment, ... English paragraphs, using a system of semantic analysis programmed in Q32 LISP 1.5. The system of semantic analysis comprises dictionary codings for the text words, coded forms of permitted ... attach semantic frames, the templates, directly to text. I shall describe below (Section 4) a method of fragmenting input texts at the start of an analysis, so as to have a unit of text to...
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Báo cáo khoa học:

Báo cáo khoa học: "A Bilingual Context Mining and Sentiment Analysis Summarization System" pot

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... 2012.c2012 Association for Computational LinguisticsSocial Event Radar: A Bilingual Context Mining and Sentiment Analysis Summarization System Wen-Tai Hsieh Chen-Ming Wu Department of IM, National ... opinions in the blogosphere, First of all, mining in blog entries from the perspective of content and sentiment is explored in Section 2.1. Second, sentiment analysis in blog entries is discussed ... distinctive opinion. Sentiment analysis is often used to extract the opinions in blog pages. Opinion can be recognized from various aspects such as a word. The semantic relationship between...
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Báo cáo khoa học:

Báo cáo khoa học: "Latent Semantic Word Sense Induction and Disambiguation" pdf

Báo cáo khoa học

... different one) in order to finda reduced semantic space.Context is a determining factor in the nature ofthe semantic similarity that is induced. A broad con- text window (e.g. a paragraph or document) ... looking at their distribution intexts, and comparing those distributions in a vectorspace model.One of the best known models in this respect is latent semantic analysis — LSA (Landauer and Du-mais, ... context-clustering algorithms andgraph-based algorithms. In the context-clusteringapproach, context vectors are created for the differ-ent instances of a particular word, and those con-texts...
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