Which machine learning approach is commonly used for sentiment analysis in NLP?
- Convolutional Neural Networks (CNNs).
- Decision Trees.
- Logistic Regression.
- Recurrent Neural Networks (RNNs).
Recurrent Neural Networks (RNNs) are commonly used for sentiment analysis in Natural Language Processing (NLP). RNNs are well-suited to sequential data, making them effective for tasks like sentiment analysis that involve analyzing the context of words in a sentence.
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