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Improving Laboratories Efficiency through Website Using Text Mining | ||
| Engineering and Technology Journal | ||
| Article 5, Volume 31, 2 B, 2013, Pages 171-184 PDF (714.89 K) | ||
| DOI: 10.30684/etj.31.2B.5 | ||
| Author | ||
| Abeer Tariq | ||
| Abstract | ||
| Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis. This research aim to present a proposed text mining system customized to improve laboratories efficiency. This is done by taking the electronic comments and e-mails produced to the organization web as inputs for that proposed mining system. The proposed text miner is customized for emails and comments written to the organization. For that the basic text mining algorithm will almost be modified by adding new steps, modify some steps by customizing Natural Language Processing (NLP), data mining techniques and building the document database. The proposal applied on the Computer Sciences Department Web and the results obtained are suitable to be published. | ||
| Keywords | ||
| text mining; Natural Language Processing; naive bayes classifier; text clustering | ||
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