What are some common techniques for text classification?
An example of an AI chatbot conversation about text classification techniques.
What are some common techniques for text classification?
Some common techniques include Naive Bayes, Support Vector Machines, and deep learning methods like LSTM.
Can you explain how Naive Bayes works?
Naive Bayes is based on Bayes' theorem and assumes independence between features. It's effective for text data.
What about deep learning methods? How do they compare?
Deep learning methods, like CNNs and RNNs, can capture complex patterns in data but require more data and resources.
Are there any specific libraries you recommend for implementing these techniques?
Yes, popular libraries include Scikit-learn for traditional methods and TensorFlow or PyTorch for deep learning.
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