book

Sentiment Analysis in Social Networks

Name: Sentiment Analysis in Social Networks
ISBN: 9780128044384

by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu

October 2016

Intermediate to advanced

284 pages

10h 27m

English

Morgan Kaufmann

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Cover image
Title page
Table of Contents
Copyright
Contributors
Editors’ Biographies
Preface
Acknowledgments
Chapter 1: Challenges of Sentiment Analysis in Social Networks: An Overview
Abstract1 Background2 Sentiment Analysis in Social Networks: A New Research Approach3 Sentiment Analysis Characteristics4 Applications
Chapter 2: Beyond Sentiment: How Social Network Analytics Can Enhance Opinion Mining and Sentiment Analysis
Abstract1 Introduction2 Definitions and History of Online Social Networks3 Are Online Social Networks All the Same? Features and Metrics4 Psychological and Motivational Factors for People to Share Opinions and to Express Themselves on Social Networks5 From Sociology Principles to Social Networks Analytics6 How Can Social Network Analytics Improve Sentiment Analysis on Online Social Networks?7 Conclusion and Future Directions

Chapter 3: Semantic Aspects in Sentiment Analysis
Abstract1 Introduction2 Semantic Resources for Sentiment Analysis3 Using Semantics in Sentiment Analysis4 Conclusions
Chapter 4: Linked Data Models for Sentiment and Emotion Analysis in Social Networks
AbstractAcknowledgments1 Introduction2 Marl: A Vocabulary for Sentiment Annotation3 Onyx: A Vocabulary for Emotion Annotation4 Linked Data Corpus Creation for Sentiment Analysis5 Linked Data Lexicon Creation for Sentiment Analysis6 Sentiment and Emotion Analysis Services7 Case Study: Generation of a Domain-Specific Sentiment Lexicon8 Conclusions
Chapter 5: Sentic Computing for Social Network Analysis
Abstract1 Introduction2 Related Work3 Affective Characterization4 Applications5 Future Trends and Directions6 Conclusion
Chapter 6: Sentiment Analysis in Social Networks: A Machine Learning Perspective
Abstract1 Introduction2 Polarity Classification in Online Social Networks: The Key Elements3 Polarity Classification: Natural Language and Relationships4 Applications5 Future Directions6 Conclusion
Chapter 7: Irony, Sarcasm, and Sentiment Analysis
AbstractAcknowledgments1 Introduction2 Irony and Sarcasm Detection3 Figurative Language and Sentiment Analysis4 Future Trends and Directions5 Conclusions
Chapter 8: Suggestion Mining From Opinionated Text
AbstractAcknowledgments1 Introduction2 Sentiments and Suggestions3 Task Definition and Typology of Suggestions4 Datasets5 Approaches for Suggestion Detection6 Applications7 Future Trends and Directions8 Summary
Chapter 9: Opinion Spam Detection in Social Networks
AbstractAcknowledgments1 Introduction2 Related Work3 Review Spammer Detection Leveraging Reviewing Burstiness4 Detecting Campaign Promoters on Twitter5 Spotting Spammers Using Collective Positive-Unlabeled Learning6 Conclusion
Chapter 10: Opinion Leader Detection
Abstract1 Introduction2 Problem Definition3 Approaches4 Discussion5 Conclusions
Chapter 11: Opinion Summarization and Visualization
Abstract1 Introduction2 Opinion Summarization3 Opinion Visualization4 Conclusion
Chapter 12: Sentiment Analysis With SpagoBI
Abstract1 Introduction to SpagoBI2 Social Network Analysis With SpagoBI3 Algorithms Used4 Conclusion
Chapter 13: SOMA: The Smart Social Customer Relationship Management Tool: Handling Semantic Variability of Emotion Analysis With Hybrid Technologies
AbstractAcknowledgments1 Introduction2 Definition of Sentiment and Emotion Mining3 Previous Work4 A Silver Standard Corpus for Emotion Classification in Tweets5 General System6 Results and Evaluation7 Conclusion
Chapter 14: The Human Advantage: Leveraging the Power of Predictive Analytics to Strategically Optimize Social Campaigns
Abstract1 Introduction2 The Current Philosophy Around Sentiment Analysis3 KRC Research’s Digital Content and Sentiment Philosophy4 KRC Research’s Sentiment and Analytics Approach5 Case Study6 Conclusion
Chapter 15: Price-Sensitive Ripples and Chain Reactions: Tracking the Impact of Corporate Announcements With Real-Time Multidimensional Opinion Streaming
AbstractAcknowledgments1 Introduction2 Architecture3 Multidimensional Opinion Metrics4 Discussion5 Conclusion
Chapter 16: Conclusion and Future Directions
Abstract
Author Index
Subject Index

Content preview from Sentiment Analysis in Social Networks

Chapter 1: Challenges of Sentiment Analysis in Social Networks: An Overview

Abstract

1 Background

2 Sentiment Analysis in Social Networks: A New Research Approach

3 Sentiment Analysis Characteristics

4 Applications

Chapter 2: Beyond Sentiment: How Social Network Analytics Can Enhance Opinion Mining and Sentiment Analysis

Abstract

1 Introduction

2 Definitions and History of Online Social Networks

3 Are Online Social Networks All the Same? Features and Metrics

4 Psychological and Motivational Factors for People to Share Opinions and to Express Themselves on Social Networks

5 From Sociology Principles to Social Networks Analytics

6 How ...

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Sentiment Analysis in Social Networks

by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu

Table of Contents

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