Review on Neural Network Used for Efficient Text Data Classification

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Sandeesh Kaur
Parminder Kaur
Sumit Kaur

Abstract

Text Classification has been growing interest in the research of text mining. Automatically organizing a set of documents into different categories has observed as an active attention. It is of great importance due to enormously increased need to handle large number of electronic documents in real world applications such as web page classification, email processing, spam filtering, language identification etc. Manually organizing documents can be too expensive and takes a lot of time so automatically text classification is attractive because it solves all these problems. There are number of existing approaches, neural network mostly used for text classification due to its greater response time and can better handle noisy data. The aim of this paper is to highlight the performance of neural network in terms of text classification.

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Author Biographies

Sandeesh Kaur, Chandigarh University

Research Scholar, Department of CSE, Chandigarh University, Gharuan, India

Parminder Kaur, Chandigarh University

Assistant Professor, Department of CSE, Chandigarh University, Gharuan, India

Sumit Kaur, Chandigarh University

Assistant Professor, Department of CSE, Chandigarh University, Gharuan, India

How to Cite

[1]
“Review on Neural Network Used for Efficient Text Data Classification”, IJCSR, vol. 1, no. 2, pp. 31–38, Jun. 2024, doi: 10.37391/.

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