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Sharing common resources for multi-language Sentiment Analysis.
The web contains a wealth of product reviews, opinions and sentiments that users publish freely in blogs, review sites and social networks. This user-generated content (UGC) represents a valuable source of information for individuals, businesses and governments. Nevertheless, user generated content proliferation has led to an explosion of customer reviews and opinions, which makes infeasible its manual processing.
Thus, Sentiment Analysis has emerged as a new discipline whose aim is the computational treatment of opinion, sentiment and subjectivity in texts, often available in so-called social media. Sentiment analysis, also called Opinion mining, combines different techniques from natural language processing, computational linguistics, text analytics and semantic analysis, in order to extract and identify subjective information in source materials.