Socio-Affective Computing
ISBN 978-3-319-55392-4 ISBN 978-3-319-55394-8 (eBook)
DOI 10.1007/978-3-319-55394-8
Library of Congress Control Number: 2017938021
© Springer International Publishing AG 2017
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Contents
1 Affective Computing and Sentiment Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay,
and Antonio Feraco
2 Many Facets of Sentiment Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Bing Liu
3 Reflections on Sentiment/Opinion Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Jiwei Li and Eduard Hovy
4 Challenges in Sentiment Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Saif M. Mohammad
5 Sentiment Resources: Lexicons and Datasets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
Aditya Joshi, Pushpak Bhattacharyya, and Sagar Ahire
6 Generative Models for Sentiment Analysis and Opinion Mining. . . . . . . 107
Hongning Wang and ChengXiang Zhai
7 Social Media Summarization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135
Vasudeva Varma, Litton J. Kurisinkel, and Priya Radhakrishnan
8 Deception Detection and Opinion Spam. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155
Paolo Rosso and Leticia C. Cagnina
9 Concept-Level Sentiment Analysis with SenticNet . . . . . . . . . . . . . . . . . . . . . . . 173
Federica Bisio, Claudia Meda, Paolo Gastaldo, Rodolfo Zunino,
and Erik Cambria
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189


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