Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method

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Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method
Authors: Hugo Lewi Hammer, Per Erik Solberg, Lilja Øvrelid
Citation: Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  : 90-96. 2014 June
Editors: Alexandra Balahur, Erik van der Goot, Ralf Steinberger, Andrés Montoyo
Publisher: Association for Computational Linguistics, Stroudsburg, PA, USA
Meeting: 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method describes a system for sentiment analysis of a corpus constructed from Norwegian debat articles in online newspapers.

The researchers own Norwegian translation of the AFINN word list was used for the sentiment analysis. They extended the word list with "1590 words relevant to political discussions" ending up with 4067 Norwegian words.

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