Transformer-Based Sentiment Analysis for Movie Reviews

NLP feels different from computer vision — the challenge is not just the data,
but the ambiguity of language.

This project explored how transformer models classify sentiment in movie reviews.

Process

  • Loaded a pre-trained transformer
  • Tokenized the text
  • Batched sequences
  • Fine-tuned on labeled sentiment data
  • Evaluated with accuracy and F1 score

Key Learning

Even small adjustments in:

  • learning rate
  • number of epochs
  • batch size

…can significantly influence performance.

This project showed me how powerful (and sensitive) transformers can be.

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