A Practical Guide to Sentiment Analysis

This edited work presents studies and discussions that clarify the challenges and opportunities of sentiment analysis research. While sentiment analysis research has become very popular in the past ten years, most companies and researchers still approach it simply as a polarity detection problem. In...

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Bibliographic Details
Other Authors: Cambria, Erik (Editor), Das, Dipankar (Editor), Bandyopadhyay, Sivaji (Editor), Feraco, Antonio (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:Socio-Affective Computing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Preface
  • Affective Computing and Sentiment Analysis
  • Many Facets of Sentiment Analysis
  • Reflections on Sentiment/Opinion Analysis
  • Challenges in Sentiment Analysis
  •  Sentiment Resources: Lexicons and Datasets
  • Generative Models for Sentiment Analysis and Opinion Mining
  • Social Media Summarization
  • Deception Detection and Opinion Spam
  • Concept-Level Sentiment Analysis with SenticNet
  • Index