000 03169nam a22005295i 4500
001 978-3-642-04533-2
003 DE-He213
005 20140220084526.0
007 cr nn 008mamaa
008 100301s2010 gw | s |||| 0|eng d
020 _a9783642045332
_9978-3-642-04533-2
024 7 _a10.1007/978-3-642-04533-2
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aSilva, Catarina.
_eauthor.
245 1 0 _aInductive Inference for Large Scale Text Classification
_h[electronic resource] :
_bKernel Approaches and Techniques /
_cby Catarina Silva, Bernardete Ribeiro.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v255
505 0 _aFundamentals -- Background on Text Classification -- Kernel Machines for Text Classification -- Approaches and techniques -- Enhancing SVMs for Text Classification -- Scaling RVMs for Text Classification -- Distributing Text Classification in Grid Environments -- Framework for Text Classification.
520 _aText classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aText processing (Computer science.
650 0 _aComputational linguistics.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aDocument Preparation and Text Processing.
650 2 4 _aComputational Linguistics.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aRibeiro, Bernardete.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642045325
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v255
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-04533-2
912 _aZDB-2-ENG
999 _c111609
_d111609