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TF - term frequency. IDF - inverse document frequency
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![[Pasted image 20260719155922.png]]
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![[Pasted image 20260719155956.png]]
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```python
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from sklearn.feature_extraction.text import TfidfVectorizer
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```
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Usage
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- keywords extraction
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- text clustering (kmeans on tf-idf matrix)
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Initially - modification of bag of word, used to filter out useless (less important for meaning words)
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Sources:
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https://habr.com/ru/companies/otus/articles/755772/
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https://www.geeksforgeeks.org/machine-learning/understanding-tf-idf-term-frequency-inverse-document-frequency/
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