How do I use Keras to train a Bidirectional LSTM model for sentence classification

Question

With the help of code can you tell me How do I use Keras to train a Bidirectional LSTM model for sentence classification?

Answer 1

You can use tf.keras.layers.Bidirectional with LSTM for sentence classification in Keras.

Here is the code snippet you can refer to:

In the above code, we are using the following approaches:

• Bidirectional LSTM: Processes text in both forward and backward directions.
• Embedding Layer: Converts words into dense vector representations.
• Fully Connected Layers: Extracts high-level features for classification.
• Binary Classification: Uses sigmoid activation for final prediction

Hence, Keras' Bidirectional(LSTM(...)) effectively enhances sentence classification by capturing contextual dependencies in both directions.