1. Great Learning
  2. FSL
  3. Artificial Intelligence

Sentiment Analysis using Python

Learn Sentiment Analysis using Python from basics in this free online training. This free course is taught hands-on by experts. Learn Text Pre-processing, Vectorization and Modeling & lot more. Start now!

4.46
average rating

Ratings

Beginner

Level

2.25 Hrs

Learning hours

18.2K+
local_fire_department

Learners

Skills you’ll Learn

About this Course

This free sentiment analysis using Python course helps learners learn everything from scratch. First, you will go through what Machine Learning is and its categories. You will dive into supervised and unsupervised Machine Learning and understand its various categories. You will then get introduced to sentiment analysis. You will go through an example of implementing a logistic regression algorithm to help you understand sentiment analysis better. You will comprehend the major concepts like text pre-processing, vectorization, and modeling through Amazon data examples. You will also get a brief introduction to Python programming language and comprehend Twitter sentiment analysis in detail through a hands-on demo. You also have Q&A modules where most of your sentiment analysis and code-based questions are answered. 

 

Complete this free online Sentiment Analysis using Python course and receive a free certificate of course completion.

 

Check out Great Learning's Best AI and Machine Learning Courses that will help you dive deeper into their concepts and gain significant knowledge regarding them. Enroll in these courses and earn certificates of course completion.
 

 

Why upskill with us?

check circle outline
700+ free courses
In-demand skills & tools
access time
Free life time Access

Course Outline

What is Machine Learning?

This module begins by defining machine learning. It then discusses how a machine understands the tasks with examples and explains supervised and unsupervised learning concepts in machine learning. 

Categories of Machine Learning

This module focuses on sentiment analysis by helping you understand the sentiment associated with data. You will go through a hands-on example of implementing a logistic regression algorithm to analyze sentiment analysis using Python. 
 

Introduction to Sentiment Analysis

This module focuses on sentiment analysis by helping you understand the sentiment associated with data. You will go through a hands-on example of implementing a logistic regression algorithm to analyze sentiment analysis using Python. 

Text Pre-processing

This module contains a hands-on session on text pre-processing using Python programming to analyze sentiment analysis. 
 

Vectorization and Modeling

This module helps you to build a model and to predict from the text test by understanding vectorization and modeling in detail through a hands-on session using Python programming.
 

Question & Answer

In this module, you will go through essential questions and answers regarding the sentiment analysis done using the Amazon data set and regarding Machine Learning, Artificial Intelligence, Natural Language Processing, and more.  

Introduction to Python

This module starts by briefly introducing Python programming, and you will go through its installation process and some essential hands-on examples.
 

 

Twitter Sentiment Analysis

This module has Twitter sentiment analysis hands-on session where you will learn it from scratch.
 

Code-based Question & Answer

In this module, you will go through code-based questions and answers to help you understand Twitter sentiment analysis.
 

Trusted by 10 Million+ Learners globally

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

4.46
Course Rating
67%
24%
5%
1%
3%

Sentiment Analysis using Python

2.25 Learning Hours . Beginner

Why upskill with us?

check circle outline
700+ free courses
In-demand skills & tools
access time
Free life time Access

Other Artificial Intelligence tutorials for you