Project details for AffectiveTweets

Logo AffectiveTweets 1.0.1

by felipebravom - May 14, 2018, 08:20:50 CET [ Project Homepage BibTeX Download ]

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AffectiveTweets is a WEKA package for analyzing emotion and sentiment of tweets.

The package implements WEKA filters for calculating state-of-the-art affective analysis features from tweets that can be fed into machine learning algorithms. It also implements methods for building affective lexicons and distant supervision methods for training affective models from unlabeled tweets.

Changes to previous version:

Initial Announcement on

BibTeX Entry: Download
Supported Operating Systems: Linux, Macosx, Windows
Data Formats: Arff
Tags: Affective Computing, Sentiment Analysis, Twitter
Archive: download here

Other available revisons

Version Changelog Date

Initial Announcement on

May 14, 2018, 08:20:50

Initial Announcement on

November 1, 2017, 02:24:58


Felipe Bravo (on May 16, 2018, 01:12:21)
* Added support for stemming and handling stop words. * Added support for using different tokenizers. * Added new distant supervision filters. * Added new filters for creating affective lexicons.

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