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2021 | OriginalPaper | Chapter

Techniques, Applications, and Issues in Mining Large-Scale Text Databases

Authors : Sandhya Avasthi, Ritu Chauhan, Debi P. Acharjya

Published in: Advances in Information Communication Technology and Computing

Publisher: Springer Singapore

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Abstract

The discovery of knowledge from large-scale text data or semi-structured data is very difficult. In text mining, useful information is extracted out of such large text corpus which fulfills a user current information need. This process is being exploited by various organizations for quality improvement, business need, and understanding user behavior. The text available in unstructured and semi-structured form can come through sources such as medical, financial, market, scientific, and others documents. Text mining applies quantitative approach to analyze massive amount of textual data and tries to solve information overload problem. The main objective is to review text mining techniques, application areas, and existing issues.

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Metadata
Title
Techniques, Applications, and Issues in Mining Large-Scale Text Databases
Authors
Sandhya Avasthi
Ritu Chauhan
Debi P. Acharjya
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_39