Affective Computing and Sentiment Analysis (Hardcover)

Khurshid Ahmad

ISBN 10: 9400717563 / ISBN 13: 9789400717565

Published by Springer, Dordrecht, 2011

About this Item

Hardcover. This volume maps the watershed areas between two 'holy grails' of computer science: the identification and interpretation of affect including sentiment and mood. The expression of sentiment and mood involves the use of metaphors, especially in emotive situations. Affect computing is rooted in hermeneutics, philosophy, political science and sociology, and is now a key area of research in computer science. The 24/7 news sites and blogs facilitate the expression and shaping of opinion locally and globally. Sentiment analysis, based on text and data mining, is being used in the looking at news and blogs for purposes as diverse as: brand management, film reviews, financial market analysis and prediction, homeland security. There are systems that learn how sentiments are articulated. This work draws on, and informs, research in fields as varied as artificial intelligence, especially reasoning and machine learning, corpus-based information extraction, linguistics, and psychology. This volume maps the watershed areas between two 'holy grails' of computer science: the identification and interpretation of affect including sentiment and mood. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9789400717565

Bibliographic Details

• Title: Affective Computing and Sentiment Analysis (Hardcover)
• Publisher: Springer, Dordrecht
• Publication Date: 2011
• Language: English
• ISBN 10: 9400717563
• ISBN 13: 9789400717565
• Binding: Hardcover
• Condition: new

About this title

Synopsis

This volume maps the watershed areas between two 'holy grails' of computer science: the identification and interpretation of affect – including sentiment and mood. The expression of sentiment and mood involves the use of metaphors, especially in emotive situations. Affect computing is rooted in hermeneutics, philosophy, political science and sociology, and is now a key area of research in computer science. The 24/7 news sites and blogs facilitate the expression and shaping of opinion locally and globally.  Sentiment analysis, based on text and data mining, is being used in the looking at news and blogs for purposes as diverse as: brand management, film reviews, financial market analysis and prediction, homeland security. There are systems that learn how sentiments are articulated.

This work draws on, and informs, research in fields as varied as artificial intelligence, especially reasoning and machine learning, corpus-based information extraction, linguistics, and psychology.