Bidirectiona-LSTM-for-text-summarization-

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

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73 Stars

35 Forks

73 Watchers

Python Language

mit License

Cost to Build

$27.1K

Market Value

$45.0K

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Growth over time

7 data points · 2021-08-01 → 2023-07-01

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What is the DeepsMoseli/Bidirectiona-LSTM-for-text-summarization- GitHub project? Description: "A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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