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Results tagged with nlp
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user 30359
Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human–computer interaction. Many challenges in NLP involve natural language understanding, that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation.
21
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Accepted
What is the difference between CountVectorizer token counts and TfidfTransformer with use_id...
Actually, the documentation was pretty clear. I'll keep it posted in case someone else searches before reading:
The TfidfTransformer transforms a count matrix to a normalized tf or tf-idf representati …
- 790
20
votes
3
answers
43k
views
What is the difference between CountVectorizer token counts and TfidfTransformer with use_id...
We can use CountVectorizer to count the number of times a word occurs in a corpus:
# Tokenizing text
from sklearn.feature_extraction.text import CountVectorizer
count_vect = CountVectorizer()
X_train …
- 790