Bag of words , TFIDF , TfidfVectorizer, Cosine Similarity, NLProc basics tutorial

#NLProc #TFIDF
In this video i will be explaining concepts of Bag of words, Term frequency- Inverse Document Frequency, Cosine similarity in the context of Natural Language Processing. I will also explain how to implement these concepts in python.I have also shared the code on Github

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Chapters
00:00 Bag of words , tf-idf , tfidfvectorizer, cosine similarity, NLP basics tutorial
00:28 Bag of words
00:56 Bag of word example
03:20 Term Frequency Inverse document frequency
04:20 tf-idf score
05:40 Cosine similarity
06:46 Python implementation of tf-idf
09:42 tfidfvectorizer
10:48 Cosine similarity sci-kit
Github
https://github.com/rsreetech/Tf-idf
Links:
TfidfVectorizer : https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html
NLTK: https://github.com/nltk/nltk
Cosine Similarity : https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_similarity.html

Видео Bag of words , TFIDF , TfidfVectorizer, Cosine Similarity, NLProc basics tutorial канала Rithesh Sreenivasan