The present application presents methods for performing topical sentiment analysis on electronically stored communications employin fusion of polarity and topicality (20, 22, 24, 25). The present application also provides methods for utilizing shallow NLP techniques t determine the polarity of an expression (28, 30, 32, 34). The present application also provides a method for tuning a domain-specific polarity lexicon for use in the polarity determination. The present application also provides methods for computing a numeric metric o the aggregate opinion about topic expressed in a set of expressions (FIG. 7).
TOPICAL SENTIMENTS IN ELECTRONICALLY STORED COMMUNICATIONS