Dear Colleagues,

Sentiment analysis is a research field that analyzes people’s opinions, stances, attitudes, and emotions from written text. The popularity of social media and social networks has fostered the quick development of this field, given its ability to analyze collective sentiments.

This Special Issue, “Sentiment Analysis for Social Media”, aims to present new advances in the area of sentiment analysis that foster its development. Submissions are expected to focus on both the theoretical aspects and applications of sentiment analysis techniques for social media. New ideas proposing disruptive approaches are also welcome.

Topics of interest include but are not limited to the following areas:

• Sentiment and emotion analysis in social media and social networks;
• Evaluation of sentiment analysis systems;
• Sentiment analysis and social science;
• Visualization of sentiment analysis;
• Big-data systems for sentiment analysis.
• Fairness and bias in sentiment analysis;
• Language resources for sentiment analysis;
• Semantic models for sentiment analysis;
• Social network analysis for improving sentiment analysis;
• Multimodal sentiment analysis;
• Multilingual aspects of sentiment analysis;
• Language resources and tools for sentiment analysis;
• Applications of sentiment analysis;
• Sentiment analysis in health applications;
• Sentiment analysis and financial applications.

We hope this Special Issue works as a roadmap for all developers and users of sentiment analysis to gain insights from social media.

Dr. Carlos A. Iglesias
Guest Editor

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