How does TF-IDF work?

Can you explain how TF-IDF works in text analysis?

Sure! TF-IDF stands for Term Frequency-Inverse Document Frequency. It's a statistical measure used to evaluate the importance of a word in a document relative to a collection of documents.

What does Term Frequency mean?

Term Frequency (TF) measures how frequently a term appears in a document. It's calculated as the number of times a term appears divided by the total number of terms in that document.

And what about Inverse Document Frequency?

Inverse Document Frequency (IDF) measures how important a term is across all documents. It's calculated as the logarithm of the total number of documents divided by the number of documents containing the term.

How do you combine TF and IDF?

You multiply TF by IDF to get the TF-IDF score. This score helps identify terms that are significant in a specific document while being less common in the overall dataset.