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Ling 5801 Final Project

University of Minnesota Semester

Sentiment Analysis Stanford Dataset Twitter Roberta Base

Movie Review Sentiment Analysis with NLP Model

Implemented a Machine Learning (ML)-based Natural Language Processing (NLP) model to perform sentiment analysis on online movie reviews using the Stanford 50k IMDB Movie Review dataset. Initially developed a custom NLP model, then fine-tuned the HuggingFace "Twitter Roberta Base Sentiment" model for efficiency and accuracy in handling colloquial language. Processed data included the removal of web elements and handling of contractions and stop words for effective tokenization.


📊 Project Presentation

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📄 Project Paper

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🧑‍🤝‍🧑 Credits

In Collaboration with

  • Nafi Khan
  • Galaan Omar
  • Haroon Shahzad
  • Isaac Mohammed Nur

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