What will you learn in this course?

Create tokenization, stemming, and lemmatization techniques for NLP applications using NLTK Python library
Build and analyze text classification models with NLTK for real-world language processing tasks

Implement part-of-speech tagging, chunking, and parsing to extract meaningful information from text data
Develop sentiment analysis and language modeling solutions leveraging NLTK's NLP tools and resources

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Lessons | 4

00:03:38

Developing NLP Applications Using NLTK in Python The Course Overview| packtpub com

00:02:22

Developing NLP Applications Using NLTK in Python Using the Built In Chunker| packtpub com

00:02:24

Developing NLP Applications Using NLTK in Python Using Inbuilt NERs| packtpub com

00:07:20

Developing NLP Applications Using NLTK in Python Creating an NLP Pipeline| packtpub com

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