A Study the Review of Text Classification with its Applications and Processes

Exploring Text Classification and its Applications

Authors

  • Ankur Pandey
  • Dr. Anoop Kumar Chaturvedi

Keywords:

Text mining, data mining, text classification, text databases, electronic publications, NLP, web search, information retrieval, ranking, document classification, Machine learning classifiers

Abstract

Text mining is a variant of data mining that attempts in finding an interesting pattern from largerdatasets. The text databases have been growing rapidly owing to the increase in amount of informationthat is available in the form of electronic publications, from e-mail and World Wide Web. Technically, textmining is one of the automated methods that exploit the large knowledge available from text document.Natural Language Processing (NLP) has several applications in web search, retrieval of information,ranking and classification of documents where text classification is an important task. Text classificationintends to provide high quality textual representation accessed from the digital forms of documentavailable online and build high quality classifiers. Current research explores the Machine learningclassifiers for text classification.

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Published

2022-01-01

How to Cite

[1]
“A Study the Review of Text Classification with its Applications and Processes: Exploring Text Classification and its Applications”, JASRAE, vol. 19, no. 1, pp. 410–416, Jan. 2022, Accessed: Jul. 03, 2024. [Online]. Available: https://ignited.in/jasrae/article/view/13745

How to Cite

[1]
“A Study the Review of Text Classification with its Applications and Processes: Exploring Text Classification and its Applications”, JASRAE, vol. 19, no. 1, pp. 410–416, Jan. 2022, Accessed: Jul. 03, 2024. [Online]. Available: https://ignited.in/jasrae/article/view/13745