Building a sentiment corpus using a gamified framework
This paper describes the design and development of Polarity, a gamified web application used to collect data for building a sentiment corpus. It discusses the advantages of using a gamified approach over other methods of data collection, and also outlines the design challenges and issues that are pr...
Saved in:
Main Authors: | , |
---|---|
Format: | text |
Published: |
Animo Repository
2014
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/866 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1865/type/native/viewcontent/HNICEM.2014.7016215 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
id |
oai:animorepository.dlsu.edu.ph:faculty_research-1865 |
---|---|
record_format |
eprints |
spelling |
oai:animorepository.dlsu.edu.ph:faculty_research-18652024-08-19T08:34:08Z Building a sentiment corpus using a gamified framework Tiam-Lee, Thomas James See, Solomon L. This paper describes the design and development of Polarity, a gamified web application used to collect data for building a sentiment corpus. It discusses the advantages of using a gamified approach over other methods of data collection, and also outlines the design challenges and issues that are present in the implementation of such an approach. © 2014 IEEE 2014-01-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/866 info:doi/10.1109/HNICEM.2014.7016215 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1865/type/native/viewcontent/HNICEM.2014.7016215 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 See, Solomon L. Building a sentiment corpus using a gamified framework |
description |
This paper describes the design and development of Polarity, a gamified web application used to collect data for building a sentiment corpus. It discusses the advantages of using a gamified approach over other methods of data collection, and also outlines the design challenges and issues that are present in the implementation of such an approach. © 2014 IEEE |
format |
text |
author |
Tiam-Lee, Thomas James See, Solomon L. |
author_facet |
Tiam-Lee, Thomas James See, Solomon L. |
author_sort |
Tiam-Lee, Thomas James |
title |
Building a sentiment corpus using a gamified framework |
title_short |
Building a sentiment corpus using a gamified framework |
title_full |
Building a sentiment corpus using a gamified framework |
title_fullStr |
Building a sentiment corpus using a gamified framework |
title_full_unstemmed |
Building a sentiment corpus using a gamified framework |
title_sort |
building a sentiment corpus using a gamified framework |
publisher |
Animo Repository |
publishDate |
2014 |
url |
https://animorepository.dlsu.edu.ph/faculty_research/866 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1865/type/native/viewcontent/HNICEM.2014.7016215 |
_version_ |
1808617026108784640 |