| Author: | | felipebravom <fbravoma{[at]}waikato.ac.nz> |
| Category: | | Text classification |
| Date: | | 2019-02-20 |
| Depends: | | weka (>=3.8.1) |
| Description: | | Text filters for analyzing emotion and sentiment of tweets. Sample tweets annotated by sentiment and emotions can be found in ${WEKA_HOME}/packages/AffectiveTweets/data. A file with some pre-trained word embeddings can be found in ${WEKA_HOME}/packages/AffectiveTweets/resources/w2v.twitter.edinburgh.100d.csv.gz. However, we recommend using the embeddings located in: https://github.com/felipebravom/AffectiveTweets/releases/download/1.0.0/w2v.twitter.edinburgh10M.400d.csv.gz for better performance. |
| License: | | GPL 3.0 |
| Maintainer: | | felipebravom <fbravoma{[at]}waikato.ac.nz> |
| PackageURL: | | https://github.com/felipebravom/AffectiveTweets/releases/download/1.0.2/AffectiveTweets1.0.2.zip |
| URL: | | https://affectivetweets.cms.waikato.ac.nz/ |
| Version: | | 1.0.2 |