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.
Format:	text
Published:	Animo Repository 2015
Subjects:	Sentiment analysis Natural language generation (Computer science) Computer Sciences
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/13018
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-14944
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-149442024-08-19T08:49:46Z Development of a sentiment corpus from a gamified approach Tiam-Lee, Thomas James Z. See, Solomon L. 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. 2015-04-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/13018 Faculty Research Work Animo Repository Sentiment analysis Natural language generation (Computer science) Computer Sciences
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Sentiment analysis Natural language generation (Computer science) Computer Sciences
spellingShingle	Sentiment analysis Natural language generation (Computer science) Computer Sciences Tiam-Lee, Thomas James Z. See, Solomon L. Development of a sentiment corpus from a gamified approach
description	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.
format	text
author	Tiam-Lee, Thomas James Z. See, Solomon L.
author_facet	Tiam-Lee, Thomas James Z. See, Solomon L.
author_sort	Tiam-Lee, Thomas James Z.
title	Development of a sentiment corpus from a gamified approach
title_short	Development of a sentiment corpus from a gamified approach
title_full	Development of a sentiment corpus from a gamified approach
title_fullStr	Development of a sentiment corpus from a gamified approach
title_full_unstemmed	Development of a sentiment corpus from a gamified approach
title_sort	development of a sentiment corpus from a gamified approach
publisher	Animo Repository
publishDate	2015
url	https://animorepository.dlsu.edu.ph/faculty_research/13018
_version_	1811611514534100992

Development of a sentiment corpus from a gamified approach

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