000			01842nam a22002057a 4500
003			OSt
005			20251203101436.0
008			251203b |||||||| |||| 00| 0 eng d
020			_a9781846281754
040			_cSoET Library
082			_a006.312 KAO
100			_aKao, Anne _92945
245			_aNatural Language Processing and Text Mining
260			_aLondon: _bSpringer, _c2007.
300			_avii, 265 p. : ill.
520			_aThe topic this book addresses originated from a panel discussion at the 2004 ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining) Conference held in Seattle, Washington, USA. We the editors or- nized the panel to promote discussion on how text mining and natural l- guageprocessing,tworelatedtopicsoriginatingfromverydi?erentdisciplines, can best interact with each other, and bene?t from each other's strengths. It attracted a great deal of interest and was attended by 200 people from all over the world. We then guest-edited a special issue of ACM SIGKDD Exp- rations on the same topic, with a number of very interesting papers. At the same time, Springer believed this to be a topic of wide interest and expressed an interest in seeing a book published. After a year of work, we have put - gether 11 papers from international researchers on a range of techniques and applications. We hope this book includes papers readers do not normally ?nd in c- ference proceedings, which tend to focus more on theoretical or algorithmic breakthroughs but are often only tried on standard test data. We would like to provide readers with a wider range of applications, give some examples of the practical application of algorithms on real-world problems, as well as share a number of useful techniques.
650			_aNatural Language _92946
700			_aPoteet, Stephen _92947
942			_2ddc _cBK
999			_c10123 _d10123