Sentiment analysis in social networks. (2016)

• Record Type: Book
• Further Information: Note: Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu.
• Authors: Pozzi, Federico Alberto; Fersini, Elisabetta; Messina, Enza; Liu, Bing
• Contents: Chapter 1Challenges of Sentiment Analysis in Social Networks: an overview Chapter 2 Beyond Sentiment: How Social Network Analytics Can Enhance Opinion Mining and Sentiment Analysis Chapter 3 Semantic Aspects in Sentiment Analysis Chapter 4 Linked Data Models for Sentiment and Emotion Analysis in Social Networks Chapter 5 Sentic Computing for Social Network Analysis Chapter 6 Sentiment Analysis in Social Networks: a Machine Learning Perspective Chapter 7 Irony Sarcasm and Sentiment Analysis Chapter 8 Suggestion Mining from Social Media Chapter 9 Opinion Spam Detection Chapter 10 Opinion Leader Detection Chapter 11 Opinion Summarization and Visualization Chapter 12 Sentiment Analysis with SpagoBI Chapter 13 SOMA: the Smart Social CRM Chapter 14 The Human Advantage- Leveraging the Predictive Analytics to Strategically Optimize Social Campaigns Chapter 15 Price-sensitive Ripples and Chain Reactions: Tracking the Impact of Corporate Announcements with Real-time Multidimensional Opinion Streaming Chapter 16 Conclusion and Future Directions
• Publisher Details: Amsterdam : Morgan Kaufmann
• Publication Date: 2016
• Extent: 1 online resource
• Subjects: 302.30285; Social networks -- Data processing; Natural language processing (Computer science); Discourse analysis; Communication -- Network analysis
• Languages: English
• ISBNs: 9780128044384
• Related ISBNs: 9780128044124
• Notes: Note: Description based on CIP data; item not viewed.
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