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nltk-library

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I recently dived into the AI spce and came up with a bot which can be embedded on a website to help users navigate through the web context when customer service agents are offline... Probably it's a good move since it's my first time developing a machine learning model.You can send a PR where possible 🤝🤓🤝

  • Updated Jul 10, 2024
  • Python

This project aims to analyze sentiment from Amazon reviews using natural language processing (NLP) techniques. By leveraging machine learning algorithms, we classify reviews as positive, negative, or neutral, providing insights into customer satisfaction and product feedback.

  • Updated Jul 1, 2024
  • Jupyter Notebook
SteamScrape

This project aims to conduct sentiment analysis on Steam game reviews using an end-to-end machine learning pipeline. The process involves web scraping, data cleaning, exploratory data analysis (EDA), natural language processing (NLP), and sentiment analysis. The sentiment analysis is performed using the NLTK library, and the results are visualized.

  • Updated Jun 21, 2024
  • Jupyter Notebook

A movie recommendation system, is an AI/ML-based approach to filtering or predicting the users’ film preferences based on their past choices and behavior. It’s an advanced filtration mechanism that predicts the possible movie choices of the concerned user and their preferences towards a domain-specific item, aka movie.

  • Updated Apr 29, 2024
  • Jupyter Notebook

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