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Machine translation and Sentiment Analysis with the (scaled dot product) attention mechanism

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Sentiment Analysis with Attention

  • Preprocessing techniques like removing stopwords, punctuations, and contractions
  • Custom word encoding and decoding using a Words class
  • Attention mechanism implemented from scratch to capture important parts of the input sequence
  • Achieved a train accuracy of 87% and validation accuracy of 88% on the Amazon Fine Food Reviews dataset

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Machine translation and Sentiment Analysis with the (scaled dot product) attention mechanism

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sentiment-analysis nmt attention-mechanism scaled-dot-product-attention

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