Dive into the world of Natural Language Processing (NLP) with this comprehensive tutorial designed for beginners. Learn about the fundamental concepts of NLP, including tokenization, normalization, stemming, and parsing. Explore machine translation, language technology, and the challenges faced in NLP. Gain insights into parts of speech tagging, named entity recognition, sentence segmentation, and phrase identification. Watch demonstrations and examples to solidify your understanding of key NLP functions and concepts. By the end of this tutorial, acquire the essential knowledge needed to embark on your journey in Natural Language Processing and its applications in artificial intelligence and human-computer interaction.
Overview
Syllabus
➤ Skip Intro: .
Introduction.
Intro to NLP.
Machine Translation and Language Technology.
NLP Challenges.
Tokenization.
Normalization and Lemmatization.
Stemming.
Parts of Speech Tagging and Named Entity Recognition.
Sentence Segmentation and Phrase Identification.
Parsing.
NLP Demo.
Taught by
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