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I'm playing around with sentiment analysis, and I'm looking for some seed data. Is there a free dictionary around?
It can be really simple: 3 sets of texts/sentences, for "positive", "negative", "neutral". It doesn't have to be huge.
Eventually I'll probably generate my own seed data for my specific use case, but it would be great to have something to play with now while I'm building the thing.
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Sentiment analysis (or opinion mining) is a natural language processing (NLP) technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.
Naive-Bayes Model For Sentiment Classification Naive-Bayes classifier is widely used in Natural language processing and proved to give better results.
Bing Liu and Minqing Hu from UIC have a number of datasets:
Bo Pang from Cornell has some more.
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