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This project aims to analyze consumer sentiment towards (FMCG) company products by scraping reviews & performing text analysis using Python. By leveraging NLP techniques, such as sentiment analysis, word cloud and topic modelling. The results of this study can inform product development, marketing strategies & overall business decision-making

License: MIT License

Jupyter Notebook 100.00%
customer-reviews latent-dirichlet-allocation review-analysis sentiment-analysis text-analytics topic-modeling wordcloud jupyter-notebook review-dataset scraping

sentiment-analysis-word-cloud-and-topic-modelling-on-customer-reviews-of-fmcg-products-in-india's Introduction

👋Hi there, I'm Krishna

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I'm a Student

  • 🌱 Eager to always learn more

    ⚡ There is so much to Learn...

    • Practicing Data Structures and Algorithms in java

    • Keen on getting better at Web Development

    • Learning Data Science

    And there is so much more. Never stop Learning.
    Wishing you all the very best and happy learning ! 😃

  • 🔭 Currently working on Front end Development Projects

  • 🤝 Looking for collaboration to participate in events and hackathons

  • 📫 Reach me out on Contact

  • 🎓 Pursuing Computer Engineering from Sardar Patel Institute of Technology

  • ⚡ Hobbies: I love to play the guitar and keyboard. Also, I enjoy drawing and tweaking with electronics.

Connect with me:

codeSTACKr | LinkedIn




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