| Download | - View final version: Affective tweets: a weka package for analyzing affect in tweets (PDF, 341 KiB)
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| Author | Search for: Bravo-Marquez, F.; Search for: Frank, E.; Search for: Pfahringer, B.; Search for: Mohammad, S. M.1 |
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| Affiliation | - National Research Council of Canada. Digital Technologies
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| Format | Text, Article |
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| Subject | Twitter; sentiment analysis; emotion analysis; affective computing; lexicon induction; distant supervison |
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| Abstract | AffectiveTweets is a set of programs for analyzing emotion and sentiment of social media messages such as tweets. It is implemented as a package for the Weka machine learning workbench and provides methods for calculating state-of-the-art affect analysis features from tweets that can be fed into machine learning algorithms implemented in Weka. It also implements methods for building affective lexicons and distant supervision methods for training affective models from unlabeled tweets. The package was used by several teams in the shared tasks: EmoInt 2017 and Affect in Tweets SemEval 2018 Task 1. |
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| Publication date | 2019-05 |
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| Publisher | Microtome Publishing |
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| Licence | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | c7abda00-6ea9-47e6-b42a-129ead8b9fda |
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| Record created | 2021-01-22 |
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| Record modified | 2022-02-18 |
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