Text Analytics

Mahmut Sami Sivri; Buse Sibel Korkmaz

doi:10.1007/978-3-030-93823-9_7

Text Analytics

Mahmut Sami Sivri^*, Buse Sibel Korkmaz

^*Corresponding author for this work

Department of Industrial Engineering

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In the age of big data, organizations and businesses have had to manage and make sense of data generated by a wide variety of systems, processes and transactions. The data contained in traditional relational databases is rather small compared to various sensor or social media data.

Original language	English
Title of host publication	Springer Series in Advanced Manufacturing
Publisher	Springer Nature
Pages	171-200
Number of pages	30
DOIs	https://doi.org/10.1007/978-3-030-93823-9_7
Publication status	Published - 2022

Publication series

Name	Springer Series in Advanced Manufacturing
ISSN (Print)	1860-5168
ISSN (Electronic)	2196-1735

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Access to Document

10.1007/978-3-030-93823-9_7

Cite this

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Text Analytics

Abstract

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Bibliographical note

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