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Sentiment Analysis with BERT

Sentiment Analysis with BERT

Deep Learning • Natural Language Processing

Tech Stack

Python Machine Learning Deep Learning BERT Sentiment Analysis NLP

Project Links

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This project is used to analyze and determine sentiment analysis for the dataset using advanced deep learning techniques.

Implementation Steps

  • Clean and preprocess text dataset
  • Split dataset into training and validation sets using stratified approach
  • Tokenize dataset using BERT tokenizer
  • Design BERT fine-tuning architecture
  • Evaluate performance using F1 scores and accuracy
  • Fine-tune BERT with training loop