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Introduction - Natural Language Processing With Python | Full Course | SpaCy | NLTK | 2021

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Hey,
I m starting this new series on Natural language processing with python. We will be exploring the NLP libraries like NLTK and SpaCy. We will be covering the following topics :
1) Use of regex library in text cleaning.
2) Understanding the basics of NLP libraries i.e. SpaCy and NTLK
3) Basics of NLP Tools like Tokenization, Displacy, Stemming, Lemmatization, Stop-words
4) Part of speech tagging and NER (named entity recognition)
5) Text Classification- How to extract features from text data
6) Semantics and Sentiment analysis
7) Topic Modelling- LDA(Latent Dirichlet Allocation), NMF(Non-negative Matrix Factorization)
8) Deep learning and NLP
9) Projects
Spacy: pip install -U spacy
Language model: python -m spacy download en
NLTK: pip install nltk
Check out my other playlist:
1) Deep Learning with TensorFlow
2) Hands-On with OpenCV
3) Image classification with Keras
4) Fake News Detection
5) Data Science Project
Follow me on:
#NLP
#Deeplearning
#Machinelearning
I m starting this new series on Natural language processing with python. We will be exploring the NLP libraries like NLTK and SpaCy. We will be covering the following topics :
1) Use of regex library in text cleaning.
2) Understanding the basics of NLP libraries i.e. SpaCy and NTLK
3) Basics of NLP Tools like Tokenization, Displacy, Stemming, Lemmatization, Stop-words
4) Part of speech tagging and NER (named entity recognition)
5) Text Classification- How to extract features from text data
6) Semantics and Sentiment analysis
7) Topic Modelling- LDA(Latent Dirichlet Allocation), NMF(Non-negative Matrix Factorization)
8) Deep learning and NLP
9) Projects
Spacy: pip install -U spacy
Language model: python -m spacy download en
NLTK: pip install nltk
Check out my other playlist:
1) Deep Learning with TensorFlow
2) Hands-On with OpenCV
3) Image classification with Keras
4) Fake News Detection
5) Data Science Project
Follow me on:
#NLP
#Deeplearning
#Machinelearning
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