04409cam a2200625Ia 4500004373905NNU20201002092034.0m o d cr^cnu---unuuu120210s2012 nyua ob 001 0 eng d7857376667857791948168118629781461432234(electronic bk.)1461432235(electronic bk.)9781461432227AU@000048769890AU@000053294076DEBSZ39727324XDKDLA820120-katalog:000660967NLGGC384143997NLGGC389426504NZ114230932(OCoLC)775786151(OCoLC)785737666(OCoLC)785779194(OCoLC)816811862GW5XEengpnGW5XEGZMCOOEBLCPE7BOCLCQN$TREBB24X7MEAUCOCLCFDEBSZBEDGEOCLCQCDXYDXCPMHWIDEBKOCLCQQA76.9.D343M56 2012COM021030bisacsh(OCoLC)775786151(OCoLC)785737666(OCoLC)785779194(OCoLC)816811862(OCoLC)966386014(OCoLC)985039080(OCoLC)990732911(OCoLC)1005822189(OCoLC)1086941602(OCoLC)1132911599006.3/1223Mining text data[electronic resource] /Charu C. Aggarwal, ChengXiang Zhai, editors.New York :Springer,©2012.http://share-vde.org/sharevde/rdfBibframe/Publisher/181 online resource (xi, 522 pages) :illustrationstexttxtrdacontenthttp://rdaregistry.info/termList/RDAContentType/1020computercrdamediahttp://rdaregistry.info/termList/RDAMediaType/1002online resourcecrrdacarrierhttp://rdaregistry.info/termList/RDACarrierType/1018Includes bibliographical references and index.An Introduction to Text Mining -- Information Extraction from Text -- A Survey of Text Summarization Techniques -- A Survey of Text Clustering Algorithms -- Dimensionality Reduction and Topic Modeling -- A Survey of Text Classification Algorithms -- Transfer Learning for Text Mining -- Probabilistic Models for Text Mining -- Mining Text Streams -- Translingual Mining from Text Data -- Text Mining in Multimedia -- Text Analytics in Social Media -- A Survey of Opinion Mining and Sentiment Analysis -- Biomedical Text Mining: A Survey of Recent Progress -- Index.Access is restricted to users affiliated with licensed institutions.AnnotationText mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.Data mining.http://id.loc.gov/authorities/subjects/sh97002073COMPUTERSDatabase ManagementData Mining.bisacshInformatique.eclasData mining.fast(OCoLC)fst00887946Computer science.Computer Communication Networks.Database management.Data mining.Multimedia systems.Data Mining and Knowledge Discovery.Multimedia Information Systems.Electronic books.Aggarwal, Charu C.http://isni.org/isni/0000000116458081Zhai, ChengXiang.http://viaf.org/viaf/209229439http://rdaregistry.info/Elements/m/P30004http://worldcat.org/oclc/775786151Print version:Mining text data.New York : Springer, 2012(DLC) 2012930923NNUBWEBBNYUIQA76.9.D343M56 2012Electronic accesshttp://link.springer.com/10.1007/978-1-4614-3223-4SpringerLinkMining text datahttp://share-vde.org/sharevde/rdfBibframe/Work/3569902-1NYU