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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Investigating Classification for Natural Language Processing Tasks

Investigating Classification for Natural Language Processing Tasks

Medlock, Ben

Paperback

Linguistics

ISBN10: 3639066103
ISBN13: 9783639066104
Publisher: Blues Kids Of Amer
Published: Aug 5 2008
Pages: 140
Weight: 0.43
Height: 0.30 Width: 6.00 Depth: 9.00
Language: English
In this volume, Ben Medlock investigates the application of machine learning classification techniques to four key natural language pro-cessing tasks: topic classification, spam filtering, anonymisation and hedge identification. Theoretical arguments are combined with practical experiments, and consideration is given to the impact of the presented research within the wider context of the field as a whole. Natural language processing (NLP) is a thriving discipline in both the research and commercial arenas. It is central to the next generation of computational systems and a key technology in advancing the ease with which humans and machines interact. The classification paradigm, drawn from the field of machine learning, is a generic framework within which a computational learner induces a func-tional mapping between a particular sample space and a set of designated target classes, or in simple terms, the automatic assign-ment of category labels to data. This is a wide-ranging exploration of applied classification techniques for NLP and an essential read for those with an interest in the application of computers to language processing.

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