Sentic Computing for Social Network Analysis
F. Bisioa; L. Onetoa; E. Cambriab a University of Genoa, Genoa, Italyb Nanyang Technological University, Singapore, Singapore
Abstract
Sentiment analysis and opinion mining have been acquiring a crucial role in both commercial and research applications because of their possible applicability to several different fields. Therefore a large number of companies have included the analysis of opinions and sentiments of customers as part of their mission. One of the most interesting applications of these approaches involves the automatic analysis of social network messages, on the basis of the feelings and emotions conveyed. This chapter aims to relate the most recent state-of-the-art sentiment-based ...
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