NLP for Beginners | NLP Tutorial in 2021 | Natural Language Processing Explained

Great Learning brings you this beginner-friendly tutorial on Natural Language Processing to help you understand everything you need to know about this topic and getting started on the journey to learn about it well. This video starts with an introduction to NLP, followed by understanding topics such as tokenization, normalization and stemming. Then we look at sentence segmentation and phrase identification. Following this, we will understand the topic of word sense disambiguation. Finally, we look at parsing! This video teaches NLP and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

Natural Language Processing, popularly known in its abbreviated form NLP, is a branch of Artificial Intelligence that deals with the interaction between humans and computers using the natural language. Its ultimate objective is to meet, understand, and make sense of the human language. NLP is that branch of AI that helps computers to interpret, understand and manipulate the human language. NLP helps developers to structure and organize information to perform tasks such as speech recognition, translation, summarization, relationship extraction, etc. NLP is a way for computers to understand, analyze, and derive meaning from human languages.

Great Learning brings you this beginner-friendly tutorial on Natural Language Processing to help you understand everything you need to know about this topic and getting started on the journey to learn about it well. This video starts with an introduction to NLP, followed by understanding topics such as tokenization, normalization and stemming. Then we look at sentence segmentation and phrase identification. Following this, we will understand the topic of word sense disambiguation. Finally, we look at parsing! This video teaches NLP and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

• 0:00:00 Introduction
• 0:03:49 Intro to NLP
• 0:11:07 Machine Translation and Language Technology
• 0:28:27 NLP Challenges
• 0:37:26 Tokenization
• 0:50:58 Normalization and Lemmatization
• 0:59:25 Stemming
• 1:07:53 Parts of Speech Tagging and Named Entity Recognition
• 1:14:16 Sentence Segmentation and Phrase Identification
• 1:49:05 Parsing
• 1:57:22 NLP Demo

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