Take it from Twitter: Nats fans are growing increasingly unhappy with this team
Auto-Sentiment uses pre-defined sentiment categories. It uses a vast set of training posts (over 500,000) that were hand-labelled as positive, negative or neutral. We use these labelled posts to calculate the frequency distribution of each word, negated word, emoticon, etc. present in those documents across the positive, negative and neutral categories. These frequency distributions are then used to construct a model that analyzes each new post and classifies it by sentiment.
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Chauncey Koziol
Update: 2024-07-07