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by Bing Liu, Enza Messina, Elisabetta Fersini, Federico Alberto Pozzi
Sentiment Analysis in Social Networks
Cover image
Title page
Table of Contents
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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