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NLP for Beginners

Great Learning via YouTube


This course on Natural Language Processing (NLP) aims to help learners understand the interaction between humans and computers using natural language. By the end of the course, students will be able to grasp concepts such as tokenization, normalization, stemming, parts of speech tagging, named entity recognition, sentence segmentation, phrase identification, and parsing. The course uses demonstrations and examples to teach NLP and its key functions. The intended audience for this beginner-friendly tutorial includes individuals interested in AI, developers looking to work with NLP, and anyone seeking to understand how computers interpret and manipulate human language.


➤ Skip Intro: .
Intro to NLP.
Machine Translation and Language Technology.
NLP Challenges.
Normalization and Lemmatization.
Parts of Speech Tagging and Named Entity Recognition.
Sentence Segmentation and Phrase Identification.
NLP Demo.

Taught by

Great Learning


4.0 rating, based on 1 Class Central review

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  • Profile image for Ayush Binekar
    Ayush Binekar
    The course was good. It gives the good basics understanding of NLP which will help to clear and start as a career.

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