Data sets tagged with "sentiment"
Offsite
TweetFeel API
The TweetFeel Twitter Sentiment API allows you programmatically discover real-time sentiment about a particular keyword or phrase using data from Twitter. You can track how your brand is perceived over time, discover customer pain points, or find real-life positive quotes that can help promote your product. More information and a web interface can be found at TweetFeel.
Offsite
Twitter Sentiment Dataset 2008 Debates
Twitter Sentiment Dataset from the 1st 2008 Presidential Debate Nick Diakopoulos and myself analysed the sentiment of tweets to characterize the Presidential debates. You can read about it in this paper. For this work, we collected sentiment judgements on 3,238 tweets from the first 2008 Presidential debate. Some notes about this data: Twitter owners own their tweets. ...
Offsite
Movie Reviews Naive Bayes Sentiment Classifier for Python NLTK
A 98.7% accurate Naive Bayes sentiment analysis classifier trained on movie reviews. Given a feature dict of words and bigrams, it will classify the text as “pos” or “neg”. It requires Python & NLTK 2.0 and is licensed for commercial usage.
$25.00
Movie Reviews Naive Bayes Subjectivity Classifier for Python NLTK
A 93.57% accurate Naive Bayes subjectivity classifier trained on IMDb plots and RottenTomatoes quotes. This classifier can be used for hierarchical sentiment analysis to determine whether text is objective or subjective before using a sentiment classifier to determine polarity. Given a feature dict of words and bigrams, it will classify the text as “quote” or ...
$25.00