What is the difference between sentiment analysis and text classification?

What is the difference between sentiment analysis and text classification?

Sentiment analysis focuses on determining the emotional tone behind a series of words, while text classification categorizes text into predefined labels.

Can you give me an example of each?

Sure! For sentiment analysis, an example would be analyzing a product review to see if it's positive or negative. For text classification, it could be sorting emails into categories like 'spam' or 'important'.

Which one is more complex to implement?

Text classification can be more complex due to the need for a well-defined set of categories and the potential for overlapping classes, while sentiment analysis often uses simpler models.

Are there specific tools for each type?

Yes, tools like NLTK and TextBlob are great for sentiment analysis, while libraries like Scikit-learn and TensorFlow are commonly used for text classification.