Natural Language Processing for Online Applications: Text retrieval, extraction and categorization.Second revised edition
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This text covers the emerging technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical issues. It seeks to satisfy a need on the part of technology practitioners in the internet space, faced with having to make difficult decisions as to what research has been done and what the best practices are. It is not intended as a vendor guide (such things are quickly out of date), or as a recipe for building applications (such recipes are very context-dependent). But it does identify the key technologies, the issues involved, and the strengths and weaknesses of the various approaches. There is also a strong emphasis on evaluation in every chapter, both in terms of methodology (how to evaluate) and what controlled experimentation and industrial experience have to tell us.
PrefaceCh. 1Natural language processing1Ch. 2Document retrieval23Ch. 3Information extraction75Ch. 4Text categorization119Ch. 5Towards text mining173Index219
