ENGLISH

Text Analytics for Business Decisions

Book information

Publisher
Mercury Learning and Information
Year
2021
ISBN
9781683926665
Language
english
Format
EPUB
Filesize
22 MB (23191763 bytes)
Pages
286\0
Orientation
landscape
Paginated
yes
Scanned
no
Time added
2024-04-26 12:56:16

Description

With the rise in data science development, we now have many remarkable techniques and tools to extend data analysis from numeric and categorical data to textual data. Sifting through the open-ended responses from a survey, for example, was an arduous process when performed by hand. Using a case study approach, this book was written for business analysts who wish to increase their skills in extracting answers for text data in order to support business decision making. Most of the exercises use Excel, today’s most common analysis tool, and R, a popular analytic computer environment. The techniques covered range from the most basic text analytics, such as key word analysis, to more sophisticated techniques, such as topic extraction and text similarity scoring. Companion files with numerous datasets are included for use with case studies and exercises

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