Table of Contents

Cover image

Title page

Copyright

Contributors

Editors’ Biographies

Preface

Acknowledgments

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 Can Social Network Analytics Improve Sentiment Analysis on Online Social Networks?

7 Conclusion and Future Directions

Chapter 3: Semantic Aspects in Sentiment Analysis

Abstract

1 Introduction

2 Semantic Resources for Sentiment Analysis

3 Using Semantics in Sentiment Analysis

4 Conclusions

Chapter 4: Linked Data Models for Sentiment and Emotion Analysis in Social Networks

Abstract

Acknowledgments

1 Introduction

2 Marl: A Vocabulary for Sentiment Annotation

3 Onyx: A Vocabulary for Emotion Annotation

4 Linked Data Corpus Creation for Sentiment Analysis

5 Linked Data Lexicon Creation for Sentiment Analysis

6 Sentiment and Emotion Analysis Services

7 Case Study: Generation of a Domain-Specific Sentiment Lexicon

8 Conclusions

Chapter 5: Sentic Computing for Social Network Analysis

Abstract

1 Introduction

2 Related Work

3 Affective Characterization

4 Applications

5 Future Trends and Directions

6 Conclusion

Chapter 6: Sentiment Analysis in Social Networks: A Machine Learning Perspective

Abstract

1 Introduction

2 Polarity Classification in Online Social Networks: The Key Elements

3 Polarity Classification: Natural Language and Relationships

4 Applications

5 Future Directions

6 Conclusion

Chapter 7: Irony, Sarcasm, and Sentiment Analysis

Abstract

Acknowledgments

1 Introduction

2 Irony and Sarcasm Detection

3 Figurative Language and Sentiment Analysis

4 Future Trends and Directions

5 Conclusions

Chapter 8: Suggestion Mining From Opinionated Text

Abstract

Acknowledgments

1 Introduction

2 Sentiments and Suggestions

3 Task Definition and Typology of Suggestions

4 Datasets

5 Approaches for Suggestion Detection

6 Applications

7 Future Trends and Directions

8 Summary

Chapter 9: Opinion Spam Detection in Social Networks

Abstract

Acknowledgments

1 Introduction

2 Related Work

3 Review Spammer Detection Leveraging Reviewing Burstiness

4 Detecting Campaign Promoters on Twitter

5 Spotting Spammers Using Collective Positive-Unlabeled Learning

6 Conclusion

Chapter 10: Opinion Leader Detection

Abstract

1 Introduction

2 Problem Definition

3 Approaches

4 Discussion

5 Conclusions

Chapter 11: Opinion Summarization and Visualization

Abstract

1 Introduction

2 Opinion Summarization

3 Opinion Visualization

4 Conclusion

Chapter 12: Sentiment Analysis With SpagoBI

Abstract

1 Introduction to SpagoBI

2 Social Network Analysis With SpagoBI

3 Algorithms Used

4 Conclusion

Chapter 13: SOMA: The Smart Social Customer Relationship Management Tool: Handling Semantic Variability of Emotion Analysis With Hybrid Technologies

Abstract

Acknowledgments

1 Introduction

2 Definition of Sentiment and Emotion Mining

3 Previous Work

4 A Silver Standard Corpus for Emotion Classification in Tweets

5 General System

6 Results and Evaluation

7 Conclusion

Chapter 14: The Human Advantage: Leveraging the Power of Predictive Analytics to Strategically Optimize Social Campaigns

Abstract

1 Introduction

2 The Current Philosophy Around Sentiment Analysis

3 KRC Research’s Digital Content and Sentiment Philosophy

4 KRC Research’s Sentiment and Analytics Approach

5 Case Study

6 Conclusion

Chapter 15: Price-Sensitive Ripples and Chain Reactions: Tracking the Impact of Corporate Announcements With Real-Time Multidimensional Opinion Streaming

Abstract

Acknowledgments

1 Introduction

2 Architecture

3 Multidimensional Opinion Metrics

4 Discussion

5 Conclusion

Chapter 16: Conclusion and Future Directions

Abstract

Author Index

Subject Index

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