[Text Mining Practice Textbook with Excel] Analysis Methods to Transform Qualitative Data into Value
Pattner Inc. (Headquarters: Shinagawa-ku, Tokyo; Representative Director: Tsugu Fukano) has released a practical guide, "[Text Mining Practice Textbook with Excel] Analysis Methods to Transform Qualitative Data into Value," designed to convert text data lying dormant within companies into business value.
This guide unravels the specific analytical process for quantifying "qualitative data" such as free-text responses from surveys and customer reviews, using the familiar "Excel" without the need for expensive analysis tools or programming, thereby directly linking it to decision-making.
▼ Read "[Text Mining Practice Textbook with Excel] Analysis Methods to Transform Qualitative Data into Value" (PDF Download) https://tazna.io/contents-excel-textmining-2
Background of Publication: Is "text data" merely being read and then forgotten? "We conducted customer surveys, but only skimmed through the free-text responses." "We have a large amount of review and daily report data, but we don't know how to analyze it." In this way, while companies accumulate vast amounts of "text data" daily, much of it remains unused and dormant.
Until now, text mining (text data analysis) was often thought to require the introduction of expensive specialized tools or advanced programming by data scientists. However, with the right approach and methods, it is possible to transform familiar "Excel" into a powerful analytical tool, enabling the extraction of objective insights that do not rely on individual "intuition and experience."
This guide clearly explains, from a practical perspective, the know-how to elevate qualitative data into valuable information and generate the "next step" for product improvements and marketing strategies.
▼ Read "[Text Mining Practice Textbook with Excel] Analysis Methods to Transform Qualitative Data into Value" (PDF Download) https://tazna.io/contents-excel-textmining-2
Highlights of this document (White Paper) <Image> [Text Mining Practice Textbook with Excel] Analysis Methods to Transform Qualitative Data into Value <Table of Contents>
Introduction
Basics of Text Mining and the Strengths of Excel
Transforming "Qualitative" to "Quantitative" with Text Mining
First, Organize Cases Where Excel is Suitable/Unsuitable
Preparation for Successful Excel Text Mining: Collection, Formatting, Preprocessing
Win with "Column Design" First: One Comment per Row, Add Meta Information
Cleaning: Organize Notational Variations, Unnecessary Words, Emojis, Line Breaks
Automate Preprocessing with Power Query and Ensure Reproducibility
Integration with Morphological Analysis Engines (MeCab/Janome Edition)
Implementing Diverse Analysis Methods in Excel
Visualize Frequency Analysis and Word Clouds in the Shortest Time
Draw Co-occurrence Networks with Pivot Graphs
Prioritize with Simple Scoring of Emotion/Evaluation (Dictionary Method)
Advanced with Python in Excel: TF-IDF, Clustering, Visualization
Basics of Python in Excel: What Can Be Done and How to Operate It
Extract "Characteristic Words" with TF-IDF and Visualize Improvement Points
Bundle "Similar Dissatisfactions" with Clustering and Translate into Actions
Effective Application Scenarios in Business: Winning Patterns in Marketing, CS, HR, Sales
Surveys/NPS: Categorize Free-Text Responses by Measure for Decision Making
Inquiries/VOC: Early Detection of Major Incidents and FAQ Improvement
1on1/Meeting Minutes: Extracting Issues, Basis for Automatic Organization of Next Actions
Summary
▼ Read "[Text Mining Practice Textbook with Excel] Analysis Methods to Transform Qualitative Data into Value" (PDF Download) https://tazna.io/contents-excel-textmining-2
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Company Profile
Company Name: Pattner Inc. Representative: Tsugu Fukano Location: 5-5-15 Kitashinagawa, Shinagawa-ku, Tokyo Business Activities: - Planning, development, and operation of the data catalog "Tazna" - Data strategy consulting - Data talent development and organizational development
Corporate Website: https://pttrner.co.jp/ Data Catalog "Tazna": https://tazna.io/
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