What are the applications of text classification?
An example of an AI chatbot conversation about applications of text classification.
What are the applications of text classification?
Text classification is used in various fields such as spam detection, sentiment analysis, and topic categorization.
Can you explain how sentiment analysis works?
Sure! Sentiment analysis involves classifying text as positive, negative, or neutral based on the emotions expressed.
What tools can I use for text classification?
Popular tools include Python libraries like Scikit-learn, TensorFlow, and natural language processing APIs.
How accurate is text classification?
The accuracy of text classification depends on the quality of the data and the algorithms used, often exceeding 90%.
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