Development of a sentiment corpus from a gamified approach

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Conference Proceeding

Source Title

11th National Natural Language Processing Research Symposium

Publication Date

4-2015

Abstract

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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Disciplines

Computer Sciences

Keywords

Sentiment analysis; Natural language generation (Computer science)

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