Boost Customer Insights with NLP-Based Sentiment AnalysisBoost Customer Insights with NLP-Based Sentiment Analysis
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Akshat Tripathi
• Mar 3
💬 Customer Sentiment Analyzer
NLP-Based Review Classification | Python | Streamlit
I developed a Customer Sentiment Analyzer that classifies reviews as Positive or Negative using Natural Language Processing and a Logistic Regression model built with scikit-learn.
The system extracts data from CSV files using Pandas, preprocesses text, converts it into numerical features through vectorization, and delivers accurate sentiment predictions through an interactive Streamlit web app.
Tech Stack: Python, Pandas, NLP, scikit-learn, Logistic Regression, Streamlit
Designed to help businesses quickly analyze customer feedback and make data-driven decisions.
Completed work
Streamlitpandasscikit-learnData EngineeringData ScienceMachine Learning Engineering
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