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Natural Language Processing NLP & Text Data Analysis Tutorial Using NLTK NLP

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This Edureka video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization, and much more, along with a demo on each one of the topics.
The following topics covered in this video :
1. The Evolution of Human Language
2. What is Text Mining?
3. What is Natural Language Processing?
4. Applications of NLP
5. NLP Components and Demo
About the Course:
Edureka's Natural Language Processing using Python Training focuses on a step-by-step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with many real-life examples where you can apply the learned content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics, and Machine Learning have been discussed.
This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in a python programming language to enhance your learning experience.
Copyright:-
All rights are reserved to the owner Edureka, and we have used this video for educational purposes.
If you want to remove it, please contact us.
The following topics covered in this video :
1. The Evolution of Human Language
2. What is Text Mining?
3. What is Natural Language Processing?
4. Applications of NLP
5. NLP Components and Demo
About the Course:
Edureka's Natural Language Processing using Python Training focuses on a step-by-step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with many real-life examples where you can apply the learned content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics, and Machine Learning have been discussed.
This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in a python programming language to enhance your learning experience.
Copyright:-
All rights are reserved to the owner Edureka, and we have used this video for educational purposes.
If you want to remove it, please contact us.