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Large-Scale Sentiment Analysis
A method for determining a sentiment associated with an entity
Sentiment analysis of natural language texts is a large and growing field. Some methods for generating sentiment lexicons assume positive and negative sentiment using synonyms and antonyms. Such methods may not accurately capture the sentiment of a word. Other methods use semantics, such as “and” and “but”, or tone/orientation to determine a sentiment of a word, but such methods may have low accuracy. Current methods for analyzing sentiment treat only single complete documents, for example, to determine if a movie review is good or bad or quantify opinion from a product review. Therefore, there is a need for a method of generating a more accurate sentiment lexicon and for determining a sentiment over a plurality of texts.
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