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gopiashokan / Financial-Document-Classification-using-Deep-Learning

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Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements using Bidirectional LSTM and TensorFlow. The model achieved an impressive accuracy of 96.2%, enhancing efficiency and reducing errors in document management for the finance and banking sectors.

nlp finance machine-learning natural-language-processing deep-learning neural-network tensorflow text model word-embeddings keras financial recurrent-neural-networks lstm classification document data-pipeline bidirectional-lstm huggingface streamlit
  • Updated Jul 19, 2024
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