This repository contains an analysis of low customer satisfaction ratings for Starbucks in the US, based on reviews from ConsumerAffairs. The project identifies key factors contributing to 1-star reviews, utilizing data preprocessing, frequent word extraction, n-grams, and collocations to uncover recurring themes and patterns. The analysis provides actionable insights for improving customer satisfaction, focusing on service, product quality, and cleanliness, with a particular emphasis on feedback from California.
- Dataset: ConsumerAffairs reviews dataset (preprocessed with added columns for state, year, and clean reviews).
- Analysis: Examination of rating scores, frequent words, n-grams, and collocations in 1-star reviews.
- Visualizations: Trends and distributions of low ratings, review lengths, and common complaint themes.
- Recommendations: Strategies for Starbucks to address customer pain points and improve satisfaction.
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