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R · NATURAL LANGUAGE PROCESSING

Service Feedback Text Mining

A concise case study showing the business problem, analytical approach, and resulting value.

Recreated service-feedback text-mining dashboard
Portfolio visualization recreated with sample or illustrative data to demonstrate the project’s analytical approach.

THE PROBLEM

Important patterns in free-text feedback were difficult to quantify through traditional reporting alone.

THE APPROACH

Cleaned and tokenized comments, explored frequent terms, applied sentiment techniques, and organized recurring themes into structured analytical findings.

THE OUTCOME

Turned qualitative feedback into measurable themes that could support service improvement and prioritization.

TOOLS

RtidytextNLPSentiment AnalysisData Visualization
Confidentiality note: This case study highlights the business problem, analytical approach, and impact while protecting confidential company and client information. Any public visuals or demonstrations use recreated or sample data.