Read Text Analytics for Business Decisions : A Case Study Approach

Text Analytics for Business Decisions : A Case Study Approach

Andrés Fortino

4.9/5 (9135 ratings)

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. Organized by tool or technique, with the basic techniques presented first and the more sophisticated techniques presented laterUses Excel and R for datasets in case studies and exercisesFeatures the CRISP-DM data mining standard with early chapters for conducting the preparatory steps in data miningCompanion files with numerous datasets and figures from the text.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Text Analytics for Business Decisions : A Case Study Approach. To get started finding Text Analytics for Business Decisions : A Case Study Approach, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

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ISBN: 1683926641

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. Organized by tool or technique, with the basic techniques presented first and the more sophisticated techniques presented laterUses Excel and R for datasets in case studies and exercisesFeatures the CRISP-DM data mining standard with early chapters for conducting the preparatory steps in data miningCompanion files with numerous datasets and figures from the text.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Text Analytics for Business Decisions : A Case Study Approach. To get started finding Text Analytics for Business Decisions : A Case Study Approach, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Text Analytics for Business Decisions : A Case Study Approach

Text Analytics for Business Decisions : A Case Study Approach

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