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Implemented multiple CNN-LSTM based neural networks. Achieved maximum accuracies for the network architecture which used a CNN-LSTM with combined kernels from multiple branches and other architecture that used a CNN-LSTM neural network with a residual connection. Achieved maximum accuracy of 89.39%.

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harshitmuhal/IMDb-review-sentiment-analysis

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IMDb-review-sentiment-analysis

Implemented a Deep CNN-LSTM with combined kernels from multiple branches for IMDb review sentiment analysis. Implementation is inspired from the paper - https://ieeexplore.ieee.org/document/8249013

Model-1 Architecture:

Accuracy - 88.62%

Model-2 Architecture:

Accuracy - 89.39%

Experimentation :

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Implemented multiple CNN-LSTM based neural networks. Achieved maximum accuracies for the network architecture which used a CNN-LSTM with combined kernels from multiple branches and other architecture that used a CNN-LSTM neural network with a residual connection. Achieved maximum accuracy of 89.39%.

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