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Evaluation of resource creations accuracy by using sentiment analysis

Opinionated texts in various social media can be further processed using sentiment analysis to generate a sentiment polarity reading. This reading shows the general public view toward a product for both developer and user. However, the task is difficult due to the dynamic changes in these texts. T...

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Main Authors: Mohamad Hardyman, Barawi, Yet, Yong Seng
Format: E-Article
Language:English
Published: Elsevier Ltd. 2013
Subjects:
QA Mathematics
Online Access:http://ir.unimas.my/id/eprint/17560/1/Evaluation%20of%20resource%20creations%20accuracy%20by%20using%20sentiment%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/17560/
http://www.sciencedirect.com/science/article/pii/S1877042813037130
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spelling my.unimas.ir.175602017-09-13T03:21:38Z http://ir.unimas.my/id/eprint/17560/ Evaluation of resource creations accuracy by using sentiment analysis Mohamad Hardyman, Barawi Yet, Yong Seng QA Mathematics Opinionated texts in various social media can be further processed using sentiment analysis to generate a sentiment polarity reading. This reading shows the general public view toward a product for both developer and user. However, the task is difficult due to the dynamic changes in these texts. The purpose of this paper is to evaluate the capability of existing dictionaries (resource creations) to analyse the opinionated comments from an online learning video. Elsevier Ltd. 2013 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/17560/1/Evaluation%20of%20resource%20creations%20accuracy%20by%20using%20sentiment%20%28abstract%29.pdf Mohamad Hardyman, Barawi and Yet, Yong Seng (2013) Evaluation of resource creations accuracy by using sentiment analysis. Procedia - Social and Behavioral Sciences, 97. pp. 522-527. ISSN 1877-0428 http://www.sciencedirect.com/science/article/pii/S1877042813037130 doi:10.1016/j.sbspro.2013.10.268
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Mohamad Hardyman, Barawi
Yet, Yong Seng
Evaluation of resource creations accuracy by using sentiment analysis
description Opinionated texts in various social media can be further processed using sentiment analysis to generate a sentiment polarity reading. This reading shows the general public view toward a product for both developer and user. However, the task is difficult due to the dynamic changes in these texts. The purpose of this paper is to evaluate the capability of existing dictionaries (resource creations) to analyse the opinionated comments from an online learning video.
format E-Article
author Mohamad Hardyman, Barawi
Yet, Yong Seng
author_facet Mohamad Hardyman, Barawi
Yet, Yong Seng
author_sort Mohamad Hardyman, Barawi
title Evaluation of resource creations accuracy by using sentiment analysis
title_short Evaluation of resource creations accuracy by using sentiment analysis
title_full Evaluation of resource creations accuracy by using sentiment analysis
title_fullStr Evaluation of resource creations accuracy by using sentiment analysis
title_full_unstemmed Evaluation of resource creations accuracy by using sentiment analysis
title_sort evaluation of resource creations accuracy by using sentiment analysis
publisher Elsevier Ltd.
publishDate 2013
url http://ir.unimas.my/id/eprint/17560/1/Evaluation%20of%20resource%20creations%20accuracy%20by%20using%20sentiment%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/17560/
http://www.sciencedirect.com/science/article/pii/S1877042813037130
_version_ 1644512650561847296
score 13.239859

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