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Natural Language Processing (NLP) for Beginners Using NLTK
Rating: 4.3 out of 5(810 ratings)
16,477 students

Natural Language Processing (NLP) for Beginners Using NLTK

Your journey to NLP mastery starts here
Created byHarshal Samant
Last updated 9/2018
English
English [Auto],

What you'll learn

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

Course content

3 sections • 8 lectures • 42m total length

  • Introduction to NLTK Corpora2:49

    Explore how natural language processing uses corpora to teach machines with readable, trustworthy text, and learn to access popular nltk corpora like Gutenberg, Brown, and writer's corpus.

  • How to download corpora?2:28

    Learn how to download and access corpora in Python using NLTK, import text bodies into code, and explore corpus features with the download method.

  • How to access a corpus in NLTK corpora?4:54

    Learn how to access NLTK corpora, including the Gutenburg and brown corpus, by retrieving raw text, word lists, and sentence lists, and explore categories and file IDs.

Requirements

  • Basics of Python programming language and any development environment to write Python programs.

Description

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

Who this course is 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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