{"id":23095401,"url":"https://github.com/felipebravom/affectivetweets","last_synced_at":"2025-08-16T11:32:29.379Z","repository":{"id":67822054,"uuid":"72379277","full_name":"felipebravom/AffectiveTweets","owner":"felipebravom","description":"A WEKA package for analyzing emotion and sentiment of tweets.","archived":false,"fork":false,"pushed_at":"2025-06-06T01:10:50.000Z","size":173551,"stargazers_count":81,"open_issues_count":0,"forks_count":21,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-06-06T02:21:16.008Z","etag":null,"topics":["cmu-tweet-nlp","emotion","lexicon","sentiment","tweets","weka"],"latest_commit_sha":null,"homepage":"https://affectivetweets.cms.waikato.ac.nz/","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/felipebravom.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2016-10-30T22:23:54.000Z","updated_at":"2025-06-06T01:10:51.000Z","dependencies_parsed_at":null,"dependency_job_id":"ea7bb963-e980-41b6-8e99-b46d5d4fa50c","html_url":"https://github.com/felipebravom/AffectiveTweets","commit_stats":null,"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"purl":"pkg:github/felipebravom/AffectiveTweets","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felipebravom%2FAffectiveTweets","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felipebravom%2FAffectiveTweets/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felipebravom%2FAffectiveTweets/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felipebravom%2FAffectiveTweets/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/felipebravom","download_url":"https://codeload.github.com/felipebravom/AffectiveTweets/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/felipebravom%2FAffectiveTweets/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270705833,"owners_count":24631553,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-16T02:00:11.002Z","response_time":91,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cmu-tweet-nlp","emotion","lexicon","sentiment","tweets","weka"],"created_at":"2024-12-16T22:30:53.726Z","updated_at":"2025-08-16T11:32:27.913Z","avatar_url":"https://github.com/felipebravom.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cimg src=\"img/logo.png\" alt=\"alt text\" width=\"30%\" height=\"30%\"\u003e \n\n## About\n\n[AffectiveTweets](https://affectivetweets.cms.waikato.ac.nz/) is a [WEKA](http://www.cs.waikato.ac.nz/~ml/weka/) package for analyzing emotion and sentiment of English written tweets. \n\nThe package implements WEKA filters for calculating state-of-the-art affective analysis features from tweets that can be fed into machine learning algorithms. Many of these features were drawn from the [NRC-Canada System](http://saifmohammad.com/WebPages/NRC-Canada-Sentiment.htm). It also implements methods for building affective lexicons and distant supervision methods for training affective models from unlabelled tweets.\n\n\nThe package was made available as the official baseline system for the [WASSA-2017](http://optima.jrc.it/wassa2017/) Shared Task on Emotion Intensity [(EmoInt)](http://saifmohammad.com/WebPages/EmotionIntensity-SharedTask.html) and for [SemEval-2018](http://alt.qcri.org/semeval2018/) Task 1: [Affect in Tweets](http://www.saifmohammad.com/WebPages/affectintweets.htm). \n\nFive participating teams used AffectiveTweets in WASSA-2017 to generate feature vectors, including the teams that eventually ranked first, second, and third. For SemEval-2018, the package was used by 15 teams.\n\n[https://affectivetweets.cms.waikato.ac.nz/](https://affectivetweets.cms.waikato.ac.nz/)\n\n## Using AffectiveTweets\n\n* [About](https://affectivetweets.cms.waikato.ac.nz/#about)\n* [Installation](https://affectivetweets.cms.waikato.ac.nz/install/)\n* [Examples](https://affectivetweets.cms.waikato.ac.nz/examples/)\n\n\n\n## Relevant Papers\n\nThe most relevant papers on which this package is based are:\n\n\n * [Sentiment Analysis of Short Informal Texts](http://saifmohammad.com/WebDocs/NRC-Sentiment-JAIR-2014.pdf). Svetlana Kiritchenko, Xiaodan Zhu and Saif Mohammad. Journal of Artificial Intelligence Research, volume 50, pages 723-762, August 2014. [BibTeX](http://saifmohammad.com/WebDocs/JAIR14-bibtex.txt)\n * [Meta-Level Sentiment Models for Big Social Data Analysis](http://www.sciencedirect.com/science/article/pii/S0950705114002068). F. Bravo-Marquez, M. Mendoza and B. Poblete. Knowledge-Based Systems Volume 69, October 2014, Pages 86–99. [BibTex](http://dblp.uni-trier.de/rec/bib2/journals/kbs/Bravo-MarquezMP14.bib)\n * [Stance and sentiment in tweets](http://saifmohammad.com/WebDocs/1605.01655v1.pdf). Saif M. Mohammad, Parinaz Sobhani, and Svetlana Kiritchenko. 2017. Special Section of the ACM Transactions on Internet Technology on Argumentation in Social Media 17(3). [BibTeX](http://saifmohammad.com/WebPages/Abstracts/stance-toit.bib.txt)\n * [Sentiment strength detection for the social Web](http://dl.acm.org/citation.cfm?id=2336261). Thelwall, M., Buckley, K., \u0026 Paltoglou, G. (2012). Journal of the American Society for Information Science and Technology, 63(1), 163-173. [BibTex](http://dblp.uni-trier.de/rec/bib2/journals/jasis/ThelwallBP12.bib)\n\n\n\n\n\n## Citation\n- Please cite the following paper if using this package in an academic publication:\n\n  - F. Bravo-Marquez, E. Frank, B. Pfahringer, and S. M. Mohammad [AffectiveTweets: a WEKA Package for Analyzing Affect in Tweets](http://jmlr.org/papers/v20/18-450.html), In *Journal of Machine Learning Research* Volume 20(92), pages 1−6, 2019. ([pdf](https://felipebravom.com/publications/jmlr2019.pdf))\n\n  You are also welcome to cite a previous publication describing the package:\n\n  - S. M. Mohammad and F. Bravo-Marquez [Emotion Intensities in Tweets](http://anthology.aclweb.org/S/S17/S17-1007.pdf), In *\\*Sem '17: Proceedings of the sixth joint conference on lexical and computational semantics (\\*Sem)*, August 2017, Vancouver, Canada. ([pdf](https://felipebravom.com/publications/starsem2017.pdf)) \n\nYou should also cite the papers describing any of the lexicons or resources you are using with this package. \n\n* Here is the [BibTex](https://affectivetweets.cms.waikato.ac.nz/fullBio.bib.txt) entry for the package along with the entries for the resources included in the package. \n\n* Here is the [BibTex](https://affectivetweets.cms.waikato.ac.nz/shortBio.bib.txt) entry just for the package.\n\n\n\n## Contact\n* Email: fbravoma at waikato.ac.nz\n* If you have questions about Weka please refer to the Weka [mailing list](https://list.waikato.ac.nz/mailman/listinfo/wekalist). \n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffelipebravom%2Faffectivetweets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffelipebravom%2Faffectivetweets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffelipebravom%2Faffectivetweets/lists"}