Information Technology

[100% OFF]Introduction to Natural Language Processing

Short Description

Learn basics of Natural Language Processing (NLP), Regular Expressions and Text Pre-processing using Python

Created by Analytics Vidhya

Last updated 2/2020

Course Language: English

Subtitles: English [Auto-generated]

What you’ll 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

Curriculum

Module 1 : Introduction to Natural Language Processing

  • Welcome to the Course
  • About the Course
  • Introduction to Natural Language Processing
  • Exercise : Introduction to Natural Language Processing
  • Python for Data Science (Optional)

Module 2: Learn to use Regular Expressions

  • Welcome to Module
  • Understanding Regular Expression
  • Implementing Regular Expression in Python
  • Exercise : Implementing Regular Expression in Python

Module 3: First Step of NLP – Text Processing

  • Welcome to Module
  • Tokenization and Text Normalization
  • Exercise : Tokenization and Text Normalization
  • Exploring Text Data
  • Part of Speech Tagging and Grammar Parsing
  • Exercise : Part of Speech Tagging and Grammar Parsing
  • Implementing Text Pre-processing Using NLTK
  • Exercise : Implementing Text Pre-processing Using NLTK
  • Build a Basic ML Model for Text Classification

Bonus Lecture

  • Bonus Lecture

Requirements

  • This course requires you to know Machine Learning.
  • Familiarity with Python would be an advantage.
  • There is no requirement of past experience in NLP.

Description

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

Who this course is for:

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

This course includes

  • On-demand video
  • 7 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Suggested: https://coursetime.net/c-working-with-files-fstream-i-o-library/

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