Sentiment Analysis on Social Media Data

  • Analyze social media posts to classify sentiment (positive, negative, neutral) using transformer models.
  • Implemented custom tokenization and feature-extraction pipelines for multilingual text processing.
  • Deployed an interactive dashboard for real-time sentiment analysis with visualization of trends.

Tools / Technology: Python, Hugging Face Transformers, spaCy, NLTK, BERT, RoBERTa

GitHub  ·  Live Demo  ·  Dataset

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