Text Analytics for Business Decisions : : A Case Study Approach / / Andres Fortino.
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 stud...
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| Superior document: | Title is part of eBook package: De Gruyter Sciendo All Ebooks Trial Collection 2024 |
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| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2021] ©2021 |
| Year of Publication: | 2021 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (318 p.) |
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Table of Contents:
- Frontmatter
- Contents
- Preface
- Chapter 1 Framing Analytical Questions
- Chapter 2 Analytical Tool Sets
- Chapter 3 Text Data Sources and Formats
- Chapter 4 Preparing the Data File
- Chapter 5 Word Frequency Analysis
- Chapter 6 Keyword Analysis
- Chapter 7 Sentiment Analysis
- Chapter 8 Visualizing Text Data
- Chapter 9 Coding Text Data
- Chapter 10 Named Entity Recognition
- Chapter 11 Topic Recognition in Documents
- Chapter 12 Text Similarity Scoring
- Chapter 13 Analysis of Large Datasets by Sampling
- Chapter 14 Installing R and RStudio
- Chapter 15 Installing the Entity Extraction Tool
- Chapter 16 Installing the Topic Modeling Tool
- Chapter 17 Installing the Voyant Text Analysis Tool
- Index