Sentiment Lexicons -- Stanford's "Socialsent" scores all adjectives based on their sentiment values: nlp.stanford.edu/projects/socia
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In the mid to late 1800's, the word "pathetic" had a positive sentiment with a meaning more parallel to "passionate." It was around the turn of the century and later when "pathetic" came to be associated with "weakness."
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Interesting dataset. You might also find this useful: words scored by sentiment dimensions like fear or disgust or interest github.com/datancoffee/si
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I propose to use grammatical categories for sentiment analysis and use adjective meanings as secondary information. SUBJECT VERB OBJECT triples improve Text Mining.
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