Project details for AffectiveTweets

Logo AffectiveTweets 1.0.0

by felipebravom - November 1, 2017, 02:24:58 CET [ Project Homepage BibTeX Download ]

view (1 today), download ( 1 today ), 3 subscriptions

Description:

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

Changes to previous version:

Initial Announcement on mloss.org.

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

Comments

No one has posted any comments yet. Perhaps you'd like to be the first?

Leave a comment

You must be logged in to post comments.