Text Categorization in Data Mining: A Review
Abstract & Details
Research Area
Computer Engineering
Keywords
Text Categorization
Data Mining
Abstract
Content-based document management system has found outstanding status in the field of Computer and Information Systems Engineering and Computer Science. There are some causes for this popularity of content-based management system. The first one is that documents are available in digital form at a very huge scale. The second one is that the human beings have normal wish to access them in a flexible way. Text Categorization which is also known as Text Classification or Topic Spotting. The significance of Text Categorization (TC) is that the most popular web search engines like Google, Yahoo, Alta vista, Web Searches, Bing and others use Text Categorization (TC) to search data and metadata through the employment of web crawlers and returns the optimal results. Also “Search Engine Optimization” is a newly emerging area of research in Computer Science which needs novel and advanced research in Text Categorization (TC).
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Rimpy Wadhawan | Galaxy Global Imperial Technical Campus, Dinarpur, Ambala |
| 2 | Saurabh Mittal | Galaxy Global Imperial Technical Campus, Dinarpur, Ambala |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Wadhawan, Rimpy & Mittal, Saurabh (2017). Text Categorization in Data Mining: A Review. International Journal of Advance Research and Innovative Ideas In Education, 3(1), 1242-1245.
MLA Style
Wadhawan, Rimpy, and Saurabh Mittal. "Text Categorization in Data Mining: A Review." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, 2017, pp. 1242-1245.
IEEE Style
Rimpy Wadhawan and Saurabh Mittal, "Text Categorization in Data Mining: A Review," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, pp. 1242-1245, 2017.
Vancouver Style
Wadhawan Rimpy, Mittal Saurabh. Text Categorization in Data Mining: A Review. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(1):1242-1245.
Harvard Style
Wadhawan, Rimpy & Mittal, Saurabh (2017) 'Text Categorization in Data Mining: A Review', International Journal of Advance Research and Innovative Ideas In Education, 3(1), pp. 1242-1245.
Chicago Style
Wadhawan, Rimpy and Saurabh Mittal. "Text Categorization in Data Mining: A Review." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1242-1245.
Turabian Style
Wadhawan, Rimpy and Saurabh Mittal. "Text Categorization in Data Mining: A Review." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1242-1245.
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