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NLPMachine LearningFull-Stack

Sentiment Analysis & Product Recommendation

Advanced sentiment analysis system with product recommendation engine using machine learning and NLP techniques.

Project Demo

Watch the sentiment analysis system in action

Demo Video

Project Overview

Problem

Manual sentiment analysis of customer reviews and social media feedback is time-consuming, subjective, and often inconsistent, making it difficult for businesses to understand customer satisfaction and make data-driven decisions.

Solution

Developed an automated sentiment analysis system using Natural Language Processing (NLP) and machine learning algorithms to classify text sentiment as positive, negative, or neutral, providing real-time insights into customer opinions and feedback.

Results

  • • Achieved 90%+ accuracy in sentiment classification across diverse text samples
  • • Reduced sentiment analysis time from 5-10 minutes to under 30 seconds
  • • Successfully processed and analyzed over 10,000 customer reviews

Technologies

PythonNLTKScikit-learnPandasTextBlobVADERStreamlit

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