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Actionable Conformance Checking: From Intuitions to Code Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Introduction to Text Analytics

Authors : Agata Filipowska, Dominik Filipiak

Published in: Big Data Management and Analytics

Publisher: Springer International Publishing

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Abstract

Data processing regards analysis of various types of data, including numerical data, signals, texts, pictures, videos, etc. This paper focuses on defining and studying various tasks of text analytics following the typical processing pipeline. Sources of textual data are introduced and related challenges are discussed. Along with the process of text analytics, examples are presented to demonstrate how text analytics should be carried out. Finally, potential applications of text analytics are given including sentiment analysis and automatic generation of content.

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previous chapter Actionable Conformance Checking: From Intuitions to Code
next chapter Automated Machine Learning: Techniques and Frameworks
Footnotes
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Metadata
Title
Introduction to Text Analytics
Authors
Agata Filipowska
Dominik Filipiak
Copyright Year
2020
Book
Big Data Management and Analytics

Print ISBN: 978-3-030-61626-7

Electronic ISBN: 978-3-030-61627-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-61627-4_2