Automatically measuring the quality of user generated content in forums
The amount of user generated content on the Web is growing and identifying high quality content in a timely manner has become a problem. Many forums rely on its users to manually rate content quality but this often results in gathering insuffcient rating. Automated quality assessment models have lar...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Springer
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/32636 |
| _version_ | 1848753717703081984 |
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| author | Chai, Kevin Wu, Chen Potdar, Vidyasagar Hayati, Pedram |
| author2 | Kevin Wong |
| author_facet | Kevin Wong Chai, Kevin Wu, Chen Potdar, Vidyasagar Hayati, Pedram |
| author_sort | Chai, Kevin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The amount of user generated content on the Web is growing and identifying high quality content in a timely manner has become a problem. Many forums rely on its users to manually rate content quality but this often results in gathering insuffcient rating. Automated quality assessment models have largely evaluated linguistic features but these techniques are less adaptive for the diverse writing styles and terminologies used by dierent forum communities. Therefore, we propose a novel model that evaluates content, usage, reputation, temporal and structural features of user generated content to address these limitations. We employed a rule learner, a fuzzy classier and Support Vector Machines to validate our model on three operational forums. Our model outperformed the existing models in our experiments and we veried that our performance improvements were statistically signicant. |
| first_indexed | 2025-11-14T08:28:57Z |
| format | Conference Paper |
| id | curtin-20.500.11937-32636 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:28:57Z |
| publishDate | 2011 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-326362023-01-27T05:52:09Z Automatically measuring the quality of user generated content in forums Chai, Kevin Wu, Chen Potdar, Vidyasagar Hayati, Pedram Kevin Wong Lance Fung Hussein Abbass user generated content forums content quality assessment The amount of user generated content on the Web is growing and identifying high quality content in a timely manner has become a problem. Many forums rely on its users to manually rate content quality but this often results in gathering insuffcient rating. Automated quality assessment models have largely evaluated linguistic features but these techniques are less adaptive for the diverse writing styles and terminologies used by dierent forum communities. Therefore, we propose a novel model that evaluates content, usage, reputation, temporal and structural features of user generated content to address these limitations. We employed a rule learner, a fuzzy classier and Support Vector Machines to validate our model on three operational forums. Our model outperformed the existing models in our experiments and we veried that our performance improvements were statistically signicant. 2011 Conference Paper http://hdl.handle.net/20.500.11937/32636 10.1007/978-3-642-25832-9_6 Springer restricted |
| spellingShingle | user generated content forums content quality assessment Chai, Kevin Wu, Chen Potdar, Vidyasagar Hayati, Pedram Automatically measuring the quality of user generated content in forums |
| title | Automatically measuring the quality of user generated content in forums |
| title_full | Automatically measuring the quality of user generated content in forums |
| title_fullStr | Automatically measuring the quality of user generated content in forums |
| title_full_unstemmed | Automatically measuring the quality of user generated content in forums |
| title_short | Automatically measuring the quality of user generated content in forums |
| title_sort | automatically measuring the quality of user generated content in forums |
| topic | user generated content forums content quality assessment |
| url | http://hdl.handle.net/20.500.11937/32636 |