Course Information
Course Overview
Learn Natural Language Processing ( NLP ) & Text Mining by creating text classifier, article summarizer, and many more.
In this course you will learn the various concepts of natural language processing by implementing them hands on in python programming language. This course is completely project based and from the start of the course the main objective would be to learn all the concepts required to finish the different projects. You will be building a text classifier which you will use to predict sentiments of tweets in real time and you will also be building an article summarizer which will fetch articles from websites and find the summary. Apart from these you will also be doing a lot of mini projects through out the course. So, at the end of the course you will have a deep understanding of NLP and how it is applied in real world.
Course Content
- 10 section(s)
- 93 lecture(s)
- Section 1 Introduction to the Course
- Section 2 Getting the required softwares
- Section 3 Python Crash Course
- Section 4 Regular Expressions
- Section 5 Numpy and Pandas
- Section 6 NLP Core
- Section 7 Project 1 - Text Classification
- Section 8 Project 2 - Twitter Sentiment Analysis
- Section 9 Project 3 - Text Summarization
- Section 10 Word2Vec Analysis
What You’ll Learn
- Understand the various concepts of natural language processing along with their implementation
- Build natural language processing based applications
- Learn about the different modules available in Python for NLP
- Create personal spam filter or sentiment predictor
- Create personal text summarizer
Skills covered in this course
Reviews
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SShivani Shukla
na
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RRajeev Srivastava
Good course
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SSATHEESH KAGITHAM
Nice
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SSunakshi Kamra
na