Introduction to Text Processing in Python

This course introduces various text preprocessing concepts and their implementation in Python on a real-world business scenario.

  • icon-videos 1 Video
  • icon-data 1 Coding Case
  • icon-reading 1 Reading
  • icon-quiz 1 Quiz
Introduction to Text Processing in Python
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    Difficulty: Advanced

    Prior education or professional experience required

  • Asset 1
    Duration: Approximately 6 hours

Course Overview

  • Natural Language Processing (NLP) is one of the most widely used concepts in Artificial Intelligence. These days it is used to find practical solutions in almost all major sectors such as finance, retail, marketing, and so on.
  • Text processing helps streamline data from various sources by converting it into plain text, thereby making it source invariant.
  • Learn implementation of various techniques of text preprocessing like converting raw text to lowercase, removing punctuation marks and redundant words etc. in Python.
  • Gain practical experience by applying the knowledge and coding skills on real-world based business scenarios.

What’s included

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Lifetime Access

Access this project for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this project on a desktop

Skills you will learn

Tokenization and Normalization

Punctuation and Stop Words Removal

Parts of Speech Tagging

Stemming and Lemmatization

N-grams

Bag of Words (BoW)

Word Cloud

Text Analytics

Text Preprocessing

Lemmatization

Stemming

Vectorization

TF-IDF

Word Cloud

Parts of Speech Tagging

Associated Learning Tracks

Syllabus

This module explains and implements various text processing techniques in detail.

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