What are some real-world applications of text classification?

What are some real-world applications of text classification?

Text classification is used in various fields, such as spam detection in emails, sentiment analysis in social media, and categorizing news articles.

Can you explain how sentiment analysis works?

Sure! Sentiment analysis uses natural language processing to determine the emotional tone behind a series of words, helping to understand opinions.

What tools are commonly used for text classification?

Common tools include machine learning libraries like Scikit-learn, TensorFlow, and natural language processing libraries like NLTK and SpaCy.

How accurate is text classification?

The accuracy of text classification can vary widely depending on the dataset and model used, but with good data, it can exceed 90%.

What challenges are there in text classification?

Challenges include dealing with ambiguous language, sarcasm, and the need for large labeled datasets for training.