ISBN:
9780128044124
Language:
English
Pages:
1 Online-Ressource (286 p)
Parallel Title:
Print version Pozzi, Federico Alberto Sentiment Analysis in Social Networks
DDC:
006.35
Keywords:
Natural language processing (Computer science)
;
Natural language processing (Computer science)
;
Computational linguistics
;
Social networks
;
Electronic books
;
Electronic books
Abstract:
Front Cover -- Sentiment Analysis in Social Networks -- Copyright -- Contents -- Contributors -- Editors' Biographies -- Preface -- Acknowledgments -- Chapter 1: Challenges of Sentiment Analysis in Social Networks: An Overview -- 1. Background -- 2. Sentiment Analysis in Social Networks: A New Research Approach -- 3. Sentiment Analysis Characteristics -- 3.1. Sentiment Categorization: Objective Versus Subjective Sentences -- 3.2. Levels of Analysis -- 3.3. Regular Versus Comparative Opinion -- 3.4. Explicit Versus Implicit Opinions -- 3.5. The Role of Semantics
Abstract:
3.6. Dealing With Figures of Speech -- 3.7. Relationships in Social Networks -- 4. Applications -- References -- Chapter 2: Beyond Sentiment: How Social Network Analytics Can Enhance Opinion Mining and Sentiment Analysis -- 1. Introduction -- 2. Definitions and History of Online Social Networks -- 2.1. What Exactly Is an Online Social Network? -- 2.2. Brief History of Online Social Networks -- 3. Are Online Social Networks All the Same? Features and Metrics -- 3.1. Types of User-Generated Content -- 3.2. Types of Relationships Between Users
Abstract:
3.3. Indexes and Metrics to Analyze Data Collected Through Online Social Networks -- 4. Psychological and Motivational Factors for People to Share Opinions and to Express Themselves on Social Networks -- 4.1. Need to Belong -- 4.2. Need for Cognition -- 4.3. Self-Presentation and Impression Management -- 5. From Sociology Principles to Social Networks Analytics -- 5.1. Tie Strengths -- Homophily or Similarity Breeds Connection -- 5.3. Source Credibility -- 6. How Can Social Network Analytics Improve Sentiment Analysis on Online Social Networks? -- 6.1. What Is Social Network Analysis?
Abstract:
6.2. How to Integrate Social Network Analytics in Sentiment Analysis: Some Examples -- 7. Conclusion and Future Directions -- References -- Chapter 3: Semantic Aspects in Sentiment Analysis -- 1. Introduction -- 2. Semantic Resources for Sentiment Analysis -- 2.1. Classical Resources on Sentiment -- 2.2. Beyond the Polarity Valence: Emotion Lexica, Ontologies,and Psycholinguistic Resources -- 2.2.1. Emotion lexica: finer-grained affective lexica based on emotional categories -- 2.2.2. Psycholinguistic resources and other accounts of affect
Abstract:
2.2.3. Concept-based resources and ontologies: toward a knowledge-based approach to sentiment analysis -- 2.3. Social Media Corpora Annotated for Sentiment and Fine Emotion Categories -- 3. Using Semantics in Sentiment Analysis -- 3.1. Lexical Information -- 3.2. Distributional Semantics -- 3.3. Entities, Properties, and Relations -- 3.4. Concept-Level Sentiment Analysis: Reasoning With Semantics -- Conclusions -- References -- Chapter 4: Linked Data Models for Sentiment and Emotion Analysis in Social Networks -- 1. Introduction -- 2. Marl: A Vocabulary for Sentiment Annotation
Abstract:
3. Onyx: A Vocabulary for Emotion Annotation
Note:
Description based upon print version of record
URL:
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