Development of a sentiment corpus from a gamified approach

This paper discusses a sentiment corpus that was built from a gamified application. Each entry in the corpus contains a topic, a statement, and an annotation, which tells if the statement bears a positive or negative sentiment towards the topic. These were generated from the Polarity gamified web ap...

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Main Authors: Tiam-Lee, Thomas James Z., See, Solomon L.
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出版: Animo Repository 2015
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在線閱讀:https://animorepository.dlsu.edu.ph/faculty_research/13018
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總結:This paper discusses a sentiment corpus that was built from a gamified application. Each entry in the corpus contains a topic, a statement, and an annotation, which tells if the statement bears a positive or negative sentiment towards the topic. These were generated from the Polarity gamified web application. Manual evaluation of the corpus yield an 82.86% accuracy and a 90.99 inter-rater agreement, showing that there is a potential for corpora built from gamified approaches to be used in natural language processing tasks.