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001 978-3-319-12655-5
003 DE-He213
005 20200421112547.0
007 cr nn 008mamaa
008 141219s2014 gw | s |||| 0|eng d
020 _a9783319126555
_9978-3-319-12655-5
024 7 _a10.1007/978-3-319-12655-5
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
245 1 0 _aText Mining
_h[electronic resource] :
_bFrom Ontology Learning to Automated Text Processing Applications /
_cedited by Chris Biemann, Alexander Mehler.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aX, 238 p. 50 illus., 23 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheory and Applications of Natural Language Processing,
_x2192-032X
505 0 _aForeword -- PART I. Text Mining Techniques and Methodologies.-  Thomas Eckart, Dirk Goldhahn, and Uwe Quasthoff: Building large resources for text mining -- Hristo Tanev: Learning Textologies: Networks of Linked Word Clusters -- Zornitsa Kozareva: Simple, Fast and Accurate Taxonomy Learning -- Patrick Oesterling, Christian Heine, Gunther H. Weber and Gerik Scheuermann: A Topology-Based Approach to Visualize the Thematic Composition of Document Collections -- Alexander Mehler, Tim vor der Br�uck, R�udiger Gleim and Tim Geelhaar: Towards a Network Model of the Coreness of Texts; An Experiment in Classifying Latin Texts using the TTLab Latin Tagger -- PART II. Text Mining Applications. Stefan Bordag and Christian H�anig and Christian Beutenm�uller: A structuralist approach for personal knowledge exploration systems on mobile devices -- Frank Oemig and Bernd Blobel: Natural Language Processing Supporting Interoperability in Healthcare -- Veronica Perez-Rosas, Cristian Bologa, Mihai Burzo and Rada Mihalcea: Deception Detection Within and Across Cultures -- Jonathan Sonntag and Manfred Stede: Sentiment Analysis: What's your Opinion? -- Marten D�uring and Antal van den Bosch: Multi-perspective Event Detection in Texts Documenting the 1944 Battle of Arnhem -- Marco B�uchler, Philip R. Burns, Martin M�uller, Emily Franzini and Greta Franzini: Towards a Historical Text Re-use Detection.
520 _aThis book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining, and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies, and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects the most recent achievements with respect to the automatic build-up of large lexical resources. It addresses researchers that already perform text mining, and those who want to enrich their battery of methods. Selected articles can be used to support graduate-level teaching. The book is suitable for all readers that completed undergraduate studies of computational linguistics, quantitative linguistics, computer science and computational humanities. It assumes basic knowledge of computer science and corpus processing as well as of statistics.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aInformation storage and retrieval.
650 0 _aApplication software.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aComputer Appl. in Arts and Humanities.
650 2 4 _aComputer Appl. in Administrative Data Processing.
700 1 _aBiemann, Chris.
_eeditor.
700 1 _aMehler, Alexander.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319126548
830 0 _aTheory and Applications of Natural Language Processing,
_x2192-032X
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-12655-5
912 _aZDB-2-SCS
942 _cEBK
999 _c58625
_d58625