A lightweight Python NLP pipeline designed for Customer Operations teams. This script processes raw customer reviews (e.g., from Trustpilot or internal NPS surveys) and automatically categorizes them into actionable operational buckets.
In fast-paced startups, manually reading hundreds of reviews is inefficient. This tool automates qualitative data analysis, allowing the operations team to instantly identify High Churn Risk users and isolate Feature Requests for the product roadmap.
- Python 3
- Pandas (Data manipulation)
- VADER Sentiment (Lexicon and rule-based sentiment analysis)
- Clone the repository.
- Install dependencies:
pip install -r requirements.txt - Add raw feedback to
raw_reviews.csv. - Execute:
python sentiment_analyzer.py - Review the operational breakdown in
categorized_insights.csv.