sentiment analysis
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A technique to detect favorable and unfavorable opinions toward specific subjects (such as organizations and their products) within large numbers of documents offers enormous opportunities for various applications. It would provide powerful functionality for competitive analysis, marketing analysis, and detection of unfavorable rumors for risk management. Our sentiment analysis approach is to extract sentiments associated with polarities of positive or negative for specific subjects from a document, instead of classifying the whole document into positive or negative. The essential issues in sentiment analysis are to identify how sentiments are expressed in texts and whether the expressions indicate positive (favorable) or negative (unfavorable) opinions toward the subject.
IBM Sentiment Analysis
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OpinionFinder
Adaptive Semantics Inc.
ASI specializes in sentiment analysis, powered by cutting edge machine learning methods. From major blog networks, to social networks, to community reviews sites, JuLiA offers automated comment moderation, user-profiling, and a series of reporting tools to enhance and streamline the entire community moderation process.