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Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks

Top Research Book in Sentiment Analysis in Social Networks

Author(s) Name:  Federico Alberto Pozzi, Elisabetta Fersini

About the Book:

   The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking.
   Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature.

Table of contents

  • Chapter 1 - Challenges 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 Opinionated Text
  • Chapter 9 - Opinion Spam Detection in Social Networks
  • Chapter 10 - Opinion Leader Detection
  • Chapter 11 - Opinion Summarization and Visualization
  • Chapter 12 - Sentiment Analysis With SpagoBI
  • Chapter 13 - SOMA: The Smart Social Customer Relationship Management Tool: Handling Semantic Variability of Emotion Analysis With Hybrid Technologies
  • Chapter 14 - The Human Advantage: Leveraging the Power of 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 Stream
  • Chapter 16 - Conclusion and Future Directions
  • ISBN:  978-0-12-804412-4

    Publisher:  Science Direct

    Year of Publication:  2017

    Book Link:  Home Page Url