Sentiment Analysis in Python

This course accomplishes the task of Sentiment Analysis through the mixture of text preprocessing techniques and machine learning algorithms.

  • icon-videos 1 Video
  • icon-data 1 Coding Case
  • icon-reading 1 Reading
  • icon-quiz 1 Quiz
Sentiment Analysis in Python (1)
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    Difficulty: Advanced

    Prior education or professional experience required

  • Asset 1
    Duration: Approximately 6 hours

Course Overview

  • Sentiment Analysis is a well-studied topic in NLP where different techniques have been utilized to identify the emotion or sentiment through a sentence or a phrase.
  • Sentiment Analysis is the process of identifying the sentiment associated with the data points. It is mainly performed on textual data where we can utilize both supervised and unsupervised learning algorithms.
  • Learn how to build a simple logistic regression model in Python to perform sentiment analysis.
  • 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

Introduction to Sentiment Analysis

Text Preprocessing

Vectorization of Textual Data

Sentiment Analysis Through Classification Algorithms

Text Analytics

Text Preprocessing

Vectorization

Sentiment Analysis

Associated Learning Tracks

Syllabus

This module explains the complete process of Sentiment Analysis and implements the same in Python programming language.

How it Works

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