TF-IDF Calculator
Hard
machine-learning
Google
Meta
NVIDIA
Compute TF-IDF scores for each word in each document. Return a list of dictionaries mapping words to their TF-IDF scores.
- TF(word, doc) = count of word in doc / total words in doc
- IDF(word) = log(total docs / docs containing word)
Example
docs = ["the cat sat", "the cat played", "the dog barked"]
tfidf(docs)
# Returns list of 3 dicts with TF-IDF scores
Test Cases
Python Editor
Output
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