October 2016
Intermediate to advanced
284 pages
10h 27m
English
book
Sentiment Analysis in Social Networks
by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu
Content preview from Sentiment Analysis in Social Networks
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Chapter 4
Linked Data Models for Sentiment and Emotion Analysis in Social Networks
C.A. Iglesiasa; J.F. Sánchez-Radaa; G. Vulcub; P. Buitelaarb a Technical University of Madrid, Madrid, Spainb National University of Ireland, Galway, Ireland
Abstract
Language resource interoperability is still a major challenge in sentiment analysis. One of the current trends for solving this issue is the adoption of a linked data perspective for semantically modeling, interlinking, and publishing lexical and other linguistic resources. This chapter contributes to the development of the linguistic linked open data through a linked data model for sentiment and emotion analysis in social networks that is based on two vocabularies: Marl and Onyx for sentiment ...
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