Certification in Natural Language Processing (NLP)

Learn Natural Language Processing Concepts, complete process, application and coding for any data science enthusiast

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You will learn the key concepts in Natural Language Processing (NLP), starting with an introduction to NLP and its foundational principles.
The course covers text representation and feature engineering, which are crucial for understanding and manipulating textual data
You will delve into text classification methods, which are essential for categorizing and organizing text.
The course includes named entity recognition (NER) and part-of-speech (POS) tagging, both of which are vital for extracting meaningful information from text.
You will be able to learn about syntax and parsing, including their roles in understanding and analyzing the structure of sentences.
Details about sentiment analysis and opinion mining, as well as machine translation and language generation
Learn about machine translation and language generation, including techniques for translating text between languages and generating coherent and contextually
text summarization and question answering, focusing on methods for condensing long texts into concise summaries and building systems that can answer questions
You will explore advanced topics in NLP, which delve into cutting-edge research and applications in the field.
Learn about NLP applications and future trends, focusing on how natural language processing is utilized in various industries and exploring the latest advance
You will also learn about the role of NLP in various applications and its integration with different technologies.

You should have an interest in Natural Language Processing (NLP) and its applications.
An interest in text representation and feature engineering. Text classification. Named Entity Recognition (NER) and Part-of-Speech (POS) Tagging. Syntax and Parsing. Sentiment Analysis and Opinion Mining. Machine Translation and Language Generation. Text Summarization and Question Answering. Advanced Topics in NLP. NLP Applications and Future Trends. Capstone Project.
Be interested in getting the knowledge of sentiment analysis and opinion mining, machine translation and language generation, text summarization and question answering.
Have an interest in understanding NLP applications and future trends, advanced topics in NLP, and the capstone project.

Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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