Introduction to Natural Language Processing

Introduction to Natural Language Processing, available at $19.99, has an average rating of 4.2, with 14 lectures, 5 quizzes, based on 389 reviews, and has 17390 subscribers.

You will learn about Learn Basics of Natural Language Processing (NLP) Learn to use Regular Expressions to extract patterns from text Perform Text pre-processing Perform Text classification Reading and working with text data using Python This course is ideal for individuals who are Beginner Data Science Professionals interested in Natural Language Processing or Python Developers or Data Scientists It is particularly useful for Beginner Data Science Professionals interested in Natural Language Processing or Python Developers or Data Scientists.

Enroll now: Introduction to Natural Language Processing

Summary

Title: Introduction to Natural Language Processing

Price: $19.99

Average Rating: 4.2

Number of Lectures: 14

Number of Quizzes: 5

Number of Published Lectures: 14

Number of Published Quizzes: 5

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Basics of Natural Language Processing (NLP)
Learn to use Regular Expressions to extract patterns from text
Perform Text pre-processing
Perform Text classification
Reading and working with text data using Python

Who Should Attend

Beginner Data Science Professionals interested in Natural Language Processing
Python Developers
Data Scientists

Target Audiences

Beginner Data Science Professionals interested in Natural Language Processing
Python Developers
Data Scientists

More than 80% of the data in this world is unstructured in nature, which includes text. You need text mining and Natural Language processing (NLP) to make sense out of this data. Natural Language Processing (NLP) helps you extract insights from emails of customers, their tweets, text messages. Natural Language Processing (NLP) can power many applications, such as language translation, question answering systems, chatbots and document summarisers.

What would you learn in Introduction to Natural Language Processing (NLP) with Python course?

Reading and working with text data using Python
Learn to use Regular Expressions to extract patterns from text
Text pre-processing
Text classification

Course Curriculum

Chapter 1: Module 1 : Introduction to Natural Language Processing

Lecture 1: Welcome to the Course

Lecture 2: About the Course

Lecture 3: Introduction to Natural Language Processing

Lecture 4: Python for Data Science (Optional)

Chapter 2: Module 2: Learn to use Regular Expressions

Lecture 1: Welcome to Module

Lecture 2: Understanding Regular Expression

Lecture 3: Implementing Regular Expression in Python

Chapter 3: Module 3: First Step of NLP – Text Processing

Lecture 1: Welcome to Module

Lecture 2: Tokenization and Text Normalization

Lecture 3: Exploring Text Data

Lecture 4: Part of Speech Tagging and Grammar Parsing

Lecture 5: Implementing Text Pre-processing Using NLTK

Lecture 6: Build a Basic ML Model for Text Classification

Chapter 4: Bonus Lecture

Lecture 1: Bonus Lecture

Instructors

Analytics Vidhya
Data Science Community

Rating Distribution

1 stars: 4 votes
2 stars: 18 votes
3 stars: 83 votes
4 stars: 171 votes
5 stars: 113 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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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