What are the best practices for text classification?
An example of an AI chatbot conversation about best practices for text classification.
What are the best practices for text classification?
Some best practices include data preprocessing, feature selection, and choosing the right algorithms.
Can you explain data preprocessing?
Data preprocessing involves cleaning the data, handling missing values, and normalizing text.
What algorithms are commonly used for text classification?
Common algorithms include Naive Bayes, Support Vector Machines, and deep learning models like LSTM.
How do I evaluate the performance of my text classification model?
You can use metrics like accuracy, precision, recall, and F1-score to evaluate your model's performance.
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