quora-question-pairs

A NLP project to find weather given 2 questions are same are not semantically speaking.

subhadipsinha722133

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
0.nlp		0.nlp
1.Text preprossing		1.Text preprossing
10 Bidirectional LSTM		10 Bidirectional LSTM
2.TfIdf -- Ngram-- Bag of Word		2.TfIdf -- Ngram-- Bag of Word
26-CompleteNLP For Machine Learning		26-CompleteNLP For Machine Learning
3.CBOW and Skip-gram		3.CBOW and Skip-gram
4.Text Classification		4.Text Classification
5.sms-spam-classifier-main		5.sms-spam-classifier-main
6.POS Tagging		6.POS Tagging
7.quora-question-pairs-main		7.quora-question-pairs-main
8.RNN		8.RNN
9.CNN		9.CNN
9.LSTM		9.LSTM
parctice		parctice
1.ipynb		1.ipynb
15-Bag Of Words Practical's.ipynb		15-Bag Of Words Practical's.ipynb
16-TF-IDF Practical.ipynb		16-TF-IDF Practical.ipynb
26-Word2vec_Practical_Implementation.ipynb		26-Word2vec_Practical_Implementation.ipynb
4-Tokenization Example Using NLTK.ipynb		4-Tokenization Example Using NLTK.ipynb
5-Stemming And Its Types- Text Preprocessing.ipynb		5-Stemming And Its Types- Text Preprocessing.ipynb
6-Lemmatization- Text Preprocessing.ipynb		6-Lemmatization- Text Preprocessing.ipynb
7-Text Preprocessing-Stopwords With NLTK.ipynb		7-Text Preprocessing-Stopwords With NLTK.ipynb
8-Parts Of Speech Tagging.ipynb		8-Parts Of Speech Tagging.ipynb
9-Named Entity Recognition.ipynb		9-Named Entity Recognition.ipynb
README.md		README.md
Word_embedding_Techniques.ipynb		Word_embedding_Techniques.ipynb
bow-with-basic-features.ipynb		bow-with-basic-features.ipynb
initial_EDA.ipynb		initial_EDA.ipynb
only-bow.ipynb		only-bow.ipynb

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