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Improving information acquisition via text mining for efficient e-governance
In this paper we proposed a framework for integrating text mining with E-Governance. We suggested that the users of electronic governance can use the text terms to describe their interest which can be processed for clustering and term extraction. The words thus expressed by users are tracked and sub...
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| Format: | Article |
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| Published: |
2015-03
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| LEADER | 00000njm a2000000a 4500 | ||
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| 001 | oai:repository.ui.edu.ng:123456789/11357 | ||
| 042 | |a dc | ||
| 720 | |a Adeyemo, A. B. |e author | ||
| 720 | |a Ojo, A. K. |e author | ||
| 260 | |c 2015-03 | ||
| 520 | |a In this paper we proposed a framework for integrating text mining with E-Governance. We suggested that the users of electronic governance can use the text terms to describe their interest which can be processed for clustering and term extraction. The words thus expressed by users are tracked and subjected to processing wherein it is possible to generate content. We have provided the framework and tested it in a few web sites. We have used the clustering and pre-processing for the content management. The results are encouraging and it is possible to extent such exercises for other text minging processes. | ||
| 024 | 8 | |a 0976-416X | |
| 024 | 8 | |a ui_art_adeyemo_improving_2014 | |
| 024 | 8 | |a International Journal of Computational Linguistics Research 6(1), pp. 23-29 | |
| 024 | 8 | |a https://repository.ui.edu.ng/handle/123456789/11357 | |
| 653 | |a E-Governance | ||
| 653 | |a Text Mining | ||
| 653 | |a Clustering | ||
| 653 | |a Content Management | ||
| 245 | 0 | 0 | |a Improving information acquisition via text mining for efficient e-governance |