[Practical Guide to Text Mining with Excel] Free Release of Analytical Methods to Turn Qualitative Data into Value

【Practical Guide to Text Mining with Excel】Analytical Methods to Turn Qualitative Data into Value Patterner Inc. (Headquarters: Shinagawa-ku, Tokyo; CEO: Tsugu Fukano) has published a practical guide titled "[Practical Guide to Text Mining with Excel] Analytical Methods to Turn Qualitative Data into Value" aimed at converting dormant text data within companies into business value. This guide explains specific analytical processes to quantify "qualitative data," such as open-ended survey responses and customer reviews, using familiar "Excel" and connecting them directly to decision-making, without the use of expensive analytics tools or programming. ▼ Read "[Practical Guide to Text Mining with Excel] Analytical Methods to Turn Qualitative Data into Value" (PDF Download) https://tazna.io/contents-excel-textmining-2 ■ Background of Release: Is "Text Data" ending up just being read? "We conducted customer surveys, but we only skim through the open-ended sections." "We have a massive amount of review and daily report data, but don't know how to analyze it." Despite the daily accumulation of large amounts of "text data" in companies like this, much of it remains dormant and unutilized. Until now, text mining (text data analysis) was often thought to require the implementation of expensive dedicated tools or advanced programming by data scientists. However, if you know the right approaches and techniques, you can transform the familiar "Excel" into a powerful analytics tool, extracting objective insights without relying on individualized "intuition and experience." In this guide, we have explained in an easy-to-understand manner from a frontline perspective the know-how to elevate qualitative data into valuable information and generate the "next move" for product improvement and marketing initiatives. ▼ Read "[Practical Guide to Text Mining with Excel] Analytical Methods to Turn Qualitative Data into Value" (PDF Download) https://tazna.io/contents-excel-textmining-2 ■ Highlights of this Material (White Paper) [Practical Guide to Text Mining with Excel] Analytical Methods to Turn Qualitative Data into Value Introduction Basics of Text Mining and Excel's Strengths Turning "Qualitative" into "Quantitative" with Text Mining Initially Organizing Cases Where Excel is Suitable/Unsuitable Preparation for Fail-proof Excel Text Mining: Collection, Shaping, Pre-processing First, Win with "Column Design": 1 Comment per Row, Adding Meta Information Cleaning: Organizing Notation Variations, Stop Words, Emojis, and Line Breaks Automating Pre-processing with Power Query to Ensure Reproducibility Integration with Morphological Analysis Engines (MeCab/Janome Edition) Implementing Various Analytical Methods in Excel Visualizing Frequency Analysis and Word Clouds in the Shortest Time Drawing Co-occurrence Networks with Pivot Charts Prioritizing with Simple Sentiment/Evaluation Scoring (Dictionary Method) Rapid Sophistication with Python in Excel: TF-IDF, Clustering, Visualization Basics of Python in Excel: What it can do and how it should be operated Extracting "Characteristic Words" with TF-IDF to Visualize Areas for Improvement Bundling "Similar Complaints" via Clustering to Formulate Countermeasures Effective Use Cases in Business: Winning Patterns in Marketing, CS, HR, and Sales Surveys/NPS: Sorting Open-ended Responses by Initiative for Decision Making Inquiries/VOC: Early Detection of Critical Incidents and FAQ Improvement 1on1s/Meeting Minutes: Extracting Key Issues and Foundations for Automating Next Actions Conclusion ▼ Read "[Practical Guide to Text Mining with Excel] Analytical Methods to Turn Qualitative Data into Value" (PDF Download) https://tazna.io/contents-exce

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