Add attention mechanism to classification problem

Question

Can you tell me Add attention mechanism to classification problem

Answer 1

Adding an attention mechanism to a classification problem enhances feature importance weighting, allowing the model to focus on the most relevant parts of the input data for improved decision-making.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Uses LSTM to Extract Sequential Features from text data.
• Applies an Attention Mechanism to dynamically focus on key tokens.
• Computes Attention Weights from the final hidden state.
• Aggregates Important Words using a weighted sum of attention scores.
• Uses a Dense Layer for binary sentiment classification.

Hence, incorporating attention into a classification model enables the network to focus on the most informative features, improving accuracy and interpretability in decision-making.