TF - term frequency. IDF - inverse document frequency 
![[Pasted image 20260719155922.png]]

![[Pasted image 20260719155956.png]]

```python
from sklearn.feature_extraction.text import TfidfVectorizer
```
Usage
- keywords extraction
- text clustering (kmeans on tf-idf matrix)

Initially - modification of bag of word, used to filter out useless (less important for meaning words) 

Sources:
https://habr.com/ru/companies/otus/articles/755772/
https://www.geeksforgeeks.org/machine-learning/understanding-tf-idf-term-frequency-inverse-document-frequency/