Dimitrios Kotzias dkotzias '@' ics.uci.edu

Data Set Information:

This dataset was created for the Paper 'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015
Please cite the paper if you want to use it :)

It contains sentences labelled with positive or negative sentiment.

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Format:
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sentence score



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Details:
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Score is either 1 (for positive) or 0 (for negative)
The sentences come from three different websites/fields:

imdb.com
amazon.com
yelp.com

For each website, there exist 500 positive and 500 negative sentences. Those were selected randomly for larger datasets of reviews.
We attempted to select sentences that have a clearly positive or negative connotaton, the goal was for no neutral sentences to be selected.

Attribute Information:

The attributes are text sentences, extracted from reviews of products, movies, and restaurants

Relevant Papers:

'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015

Citation Request:

'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015