Automatic Text Processing: Machine Learning Techniques | Do the machines understand text?

Leonardo Rigutini

ISBN 10: 3838374525 / ISBN 13: 9783838374529

Published by LAP LAMBERT Academic Publishing, 2013

About this Item

Automatic Text Processing: Machine Learning Techniques | Do the machines understand text? | Leonardo Rigutini | Taschenbuch | 148 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783838374529 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 107485906

Bibliographic Details

• Title: Automatic Text Processing: Machine Learning Techniques | Do the machines understand text?
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 3838374525
• ISBN 13: 9783838374529
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 238 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The problems deriving from need of managing large amount of electronic textual information, which is available in computers, have been studied since many years ago and in many areas the conclusions are rather definitive. Usually, what happened in this area is that the methods developed in the Machine Learning discipline have been slightly modified to deal with the high dimensional spaces of the text and almost all the methods by now have been proposed and tested, reaching for some of them very high performances. In this book, I will try to give a global idea of what a Automatic Text Processing system is and of the main problems connected to its design.

About the Author

Leonardo Rigutini received a PhD. in Information Engineering in 2005 from University of Siena. Actually, he is Research Fellow at the Department of Information Engineering of Siena. The main research areas of Rigutini are Text-Mining, Natural Language Processing, Learning To Rank, Semantic Regularization and Machine Learning in general.