Natural Language Processing for Online Applications: Text retrieval, extraction and categorization

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 an 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 It is not intended as a vendor guide (such things are quickly out of date), or as a recipe for building applications (such recipes are very context-dependent).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 on evaluation in every chapter, both in terms of methodology (how to evaluate) and what controlled experimentation and industrial experience have to tell us.

Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization

PETER JACKSON

Isabelle Moulinier

Reference

John Benjamins Publishing Co.

See the best price to sell, buy, or rent books by Isabelle Moulinier. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Isabelle Moulinier

See the best price to sell, buy, or rent books by Isabelle Moulinier. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization

Natural Language Processing for Online Applications: Text retrieval, extraction and categorization