Data intensive review mining for sentiment classification across heterogeneous domains
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
From blurry numbers to clear preferences: A mechanism to extract reputation in social networks
Expert Systems with Applications: An International Journal
Sentiment topic models for social emotion mining
Information Sciences: an International Journal
A fuzzy-oriented sentic analysis to capture the human emotion in Web-based content
Knowledge-Based Systems
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The distillation of knowledge from the Web—also known as opinion mining and sentiment analysis—is a task that has recently raised growing interest for purposes such as customer service, predicting financial markets, monitoring public security, investigating elections, and measuring a health-related quality of life. This article considers past, present, and future trends of sentiment analysis by delving into the evolution of different tools and techniques—from heuristics to discourse structure, from coarse- to fine-grained analysis, and from keyword- to concept-level opinion mining.