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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd.
2013
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/17560/ http://ir.unimas.my/id/eprint/17560/1/Evaluation%20of%20resource%20creations%20accuracy%20by%20using%20sentiment%20%28abstract%29.pdf |
| _version_ | 1848838313395355648 |
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| author | Mohamad Hardyman, Barawi Yet, Yong Seng |
| author_facet | Mohamad Hardyman, Barawi Yet, Yong Seng |
| author_sort | Mohamad Hardyman, Barawi |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T06:53:34Z |
| format | Article |
| id | unimas-17560 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:53:34Z |
| publishDate | 2013 |
| publisher | Elsevier Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-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 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 |
| spellingShingle | QA Mathematics Mohamad Hardyman, Barawi Yet, Yong Seng Evaluation of resource creations accuracy by using sentiment analysis |
| title | 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_short | Evaluation of resource creations accuracy by using sentiment analysis |
| title_sort | evaluation of resource creations accuracy by using sentiment analysis |
| topic | QA Mathematics |
| url | http://ir.unimas.my/id/eprint/17560/ http://ir.unimas.my/id/eprint/17560/ http://ir.unimas.my/id/eprint/17560/ http://ir.unimas.my/id/eprint/17560/1/Evaluation%20of%20resource%20creations%20accuracy%20by%20using%20sentiment%20%28abstract%29.pdf |