Natural Language Processing (NLP) for Beginners Using NLTK

Natural Language Processing (NLP) for Beginners Using NLTK, available at Free, has an average rating of 3.95, with 8 lectures, based on 774 reviews, and has 15765 subscribers.

You will learn about By the end of this course, you will know basic operations performed in NLP and tools made available to us by NLTK package. This course is ideal for individuals who are This course is designed for people interested in learning Natural Language Processing (NLP) from scratch. No prior knowledge of NLP techniques is assumed. It is particularly useful for This course is designed for people interested in learning Natural Language Processing (NLP) from scratch. No prior knowledge of NLP techniques is assumed.

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Summary

Title: Natural Language Processing (NLP) for Beginners Using NLTK

Price: Free

Average Rating: 3.95

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

By the end of this course, you will know basic operations performed in NLP and tools made available to us by NLTK package.

Who Should Attend

This course is designed for people interested in learning Natural Language Processing (NLP) from scratch. No prior knowledge of NLP techniques is assumed.

Target Audiences

This course is designed for people interested in learning Natural Language Processing (NLP) from scratch. No prior knowledge of NLP techniques is assumed.

In this video series, we will start with in introduction to corpus we have at our disposal through NLTK. Once we download the corpus and learn different tricks to access it, we will move on to very useful feature in NLP called frequency distribution. In this section, we will see how calculate, tabulate and plot frequency distribution of words. In the next section, we will start learning NLP specific techniques that include:

1. Stemming

2. Lemmatization

3. Tokenization

Course Curriculum

Chapter 1: Using NLTK Corpora

Lecture 1: Introduction to NLTK Corpora

Lecture 2: How to download corpora?

Lecture 3: How to access a corpus in NLTK corpora?

Chapter 2: Working with Frequency Distribution

Lecture 1: Basics of Frequency Distribution

Lecture 2: Conditional Frequency Distribution

Chapter 3: Basic Operations in NLP

Lecture 1: Stemming

Lecture 2: Lemmatization

Lecture 3: Tokenization

Instructors

Harshal Samant
Engineer and a Machine Learning Enthusiast

Rating Distribution

1 stars: 24 votes
2 stars: 39 votes
3 stars: 187 votes
4 stars: 274 votes
5 stars: 250 votes

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