PERFECTIONOF CLASSIFICATION ACCURACY IN TEXT CATEGORIZATION
- Dept. of Computer Application Shri Ramswaroop Memorial Group of Professional Colleges Lucknow (India).
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Problems and strategies for text classification have already been known for a long time. Theyre widely utilised by companies like Google and Yahoo for email spam screening, sentiment analysis of Twitter data, and automatic news categories in Google alerts. Were still working on getting the findings to be as accurate as possible. When dealing with large amounts of text data, however, the models performance and accuracy become a difficulty. The type of words utilised in the corpus and the type of features produced for classification have a big impact on the performance of a text classification model.
[Rajeev Tripathi (2021); PERFECTIONOF CLASSIFICATION ACCURACY IN TEXT CATEGORIZATION Int. J. of Adv. Res. 9 (Sep). 484-488] (ISSN 2320-5407). www.journalijar.com
Shri Ramswaroop Memorial Group of Professional Colleges
Article DOI: 10.21474/IJAR01/13437
DOI URL: http://dx.doi.org/10.21474/IJAR01/13437
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