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Titlebook: Natural Language Processing and Text Mining; Anne Kao,Stephen R. Poteet Book 2007 Springer-Verlag London 2007 Matching.Processing.Signatur

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发表于 2025-3-21 17:01:55 | 显示全部楼层 |阅读模式
书目名称Natural Language Processing and Text Mining
编辑Anne Kao,Stephen R. Poteet
视频videohttp://file.papertrans.cn/662/661840/661840.mp4
概述While there are a large number of books on Natural Language Processing (NLP) and several on Text Mining, there are almost none that discuss them together in any depth. This book not only discusses app
图书封面Titlebook: Natural Language Processing and Text Mining;  Anne Kao,Stephen R. Poteet Book 2007 Springer-Verlag London 2007 Matching.Processing.Signatur
描述The 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
出版日期Book 2007
关键词Matching; Processing; Signatur; Text-Mining; UNIX; algorithms; classification; data mining; latent semantic
版次1
doihttps://doi.org/10.1007/978-1-84628-754-1
isbn_softcover978-1-84996-558-3
isbn_ebook978-1-84628-754-1
copyrightSpringer-Verlag London 2007
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them together in any depth. This book not only discusses appThe 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 promo
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Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles,tistical and machine learning methods based on a bag-of-words approach alone, the tasks of the second group need natural language processing (NLP) at the sentence or paragraph level in order to produce more informative features.
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Evolving Explanatory Novel Patterns for Semantically-Based Text Mining,ee text based on the elements contained in it (i.e., keywords). This technology is usually referred to as Text Mining, and aims at discovering unseen and interesting patterns in textual databases [.], [.].
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ings, 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 examples978-1-84996-558-3978-1-84628-754-1
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