Beschreibung
Emotion Analysis from Natural Language Texts is gaining ground under the umbrella of subjectivity analysis and affect computing. In this Book, concepts, motivation, approaches and applications of Emotion Analysis are discussed in terms of the main challenging tasks such as feature representation schema and emotion classification at word and sentence level granularities. A prototype is described and assessed to analyse emotions, its components and their association from different available datasets. Experiments and final outcomes highlight the promise of the approach and some open research problems.
Autorenporträt
http://www.dasdipankar.com. Pursuing the Ph.D. degree and received Master degree in Computer Science and Engineering (CSE) from Jadavpur University, India and received B.Tech degree in CSE from WBUT, India. Research Fellow (since 2010), DST-JST Project "SAAIP". Research Engineer (2009-2010), DIT Project "CLIA". Member of IEEE, ACL, HUMAINE.
