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: | , |
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| Format: | text |
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Animo Repository
2015
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/13018 |
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| Institution: | De La Salle University |
| Summary: | 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. |
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