What are the differences between various NLP techniques?

What are the differences between various NLP techniques?

There are several NLP techniques, including tokenization, stemming, lemmatization, and named entity recognition. Each serves different purposes.

Can you explain tokenization and how it works?

Tokenization is the process of breaking down text into smaller units, called tokens, which can be words, phrases, or symbols.

What about stemming and lemmatization? How do they differ?

Stemming reduces words to their root form, while lemmatization considers the context and converts words to their base form.

Which technique is better for sentiment analysis?

Lemmatization is often preferred for sentiment analysis as it provides more accurate base forms of words, improving understanding.