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2021 | OriginalPaper | Chapter

Optimized Text Classification Using Deep Learning

Authors : Neeti Sangwan, Vishal Bhatnagar

Published in: Advances in Information Communication Technology and Computing

Publisher: Springer Singapore

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Abstract

As there is tremendous hike in the amount of data created in the world, the need for text classification is on rise. Data from all the online sources: e-mails, web pages, social media, chats, and more results in a huge amount of unstructured text. To extract the information from the text that is unstructured in nature is very cumbersome and time-taking. Therefore, text classification becomes a pre-requisite for the businesses to improve the decision-making process. Different deep learning-based models for text classification with respect to different activation functions are analyzed in the paper.

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Metadata
Title
Optimized Text Classification Using Deep Learning
Authors
Neeti Sangwan
Vishal Bhatnagar
Copyright Year
2021
Publisher
Springer Singapore
Book
Advances in Information Communication Technology and Computing

Print ISBN: 978-981-15-5420-9

Electronic ISBN: 978-981-15-5421-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-5421-6_30