Sentiment Labelled Sentences

Donated on 5/29/2015

The dataset contains sentences labelled with positive or negative sentiment.

Dataset Characteristics

Text

Subject Area

Other

Associated Tasks

Classification

Feature Type

-

# Instances

3000

# Features

-

Dataset Information

Additional 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. ======= Format: ======= sentence score ======= Details: ======= 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.

Has Missing Values?

No

Introductory Paper

From Group to Individual Labels Using Deep Features

By Dimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth. 2015

Published in Knowledge Discovery and Data Mining

Variable Information

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

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Creators

Dimitrios Kotzias

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