This text covers the technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical concerns. It assumes some mathematical background on the part of the reader, but the chapters typically begin with a non-mathematical account of the key issues. Current research topics are covered only to the extent that they are informing current applications; detailed coverage of longer term research and more theoretical treatments should be sought elsewhere. There are many pointers at the ends of the chapters that the reader can follow to explore the literature. However, the book does maintain a strong emphasis on evaluation in every chapter both in terms of methodology and the results of controlled experimentation.... of adjectives was found to be a useful feature, and performed better than the more standard use of term frequencies. ... P(w\)P(w2)a#39; The strength of a terma#39;s good associations is measured by the PMI of that term with the term a#39;excellenta#39;, whileanbsp;...
|Title||:||Natural Language Processing for Online Applications|
|Author||:||Peter Jackson, Isabelle Moulinier|
|Publisher||:||John Benjamins Publishing - 2007|