About the course

The course is designed to give you a hands-on experience in solving a sentiment analysis problem using Python. This course will introduce you to the skills and techniques required to solve text classification/sentiment analysis problems. You will be provided with a sufficient theory and practice material.

The course will equip you with the skills and techniques required to solve sentiment analysis problems in Python. You will be provided with sufficient theory and practice material to hone your predictive modeling skills.

Pre-requisites

This course assumes that you have familiarity with Python and basic Machine Learning concepts.

Course curriculum

  • 1
    Twitter Sentiment Analysis (Using Python)
    • Overview of the Course
    • Understand the Problem Statement
    • Table of Contents
    • Loading Libraries and Data
    • Data Inspection
    • Data Cleaning
    • Story Generation and Visualization from Tweets
    • Bag-of-Words Features
    • TF-IDF Features
    • Word2Vec Features
    • Modeling
    • Logistic Regression
    • Support Vector Machine (SVM)
    • RandomForest
    • XGBoost
    • FineTuning XGBoost + Word2Vec
    • Summary

Here's what our students have to say about our Twitter Sentiment Analysis course

  • Appreciation

    monir salmony

    I really appreciate the effort giving to provide the course in the simple way. It really gives me a clear picture about SA. Thank you so much ,

    I really appreciate the effort giving to provide the course in the simple way. It really gives me a clear picture about SA. Thank you so much ,

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  • Awesome, but left a lot to be desired

    Divyaank Tiwari

    At the end during XGBoost+Word2Vec, more explanation could have been provided.

    At the end during XGBoost+Word2Vec, more explanation could have been provided.

    Read Less
  • Sentiment Analysis

    Manohar Singh

    Good work

    Good work

    Read Less
  • It was great experience learning sentiment analysis on tw...

    Madan Lal

    I have keen interest to work on sentiment analysis not only on English language but Urdu and Hindi as well

    I have keen interest to work on sentiment analysis not only on English language but Urdu and Hindi as well

    Read Less
  • Twitter SA

    Ankit Singh

    A very good course to work on the basic of Natural language processing with well crafted steps from basic to model building and evaluation.

    A very good course to work on the basic of Natural language processing with well crafted steps from basic to model building and evaluation.

    Read Less

FAQ

  • Who should take this course?

    This course is meant for people looking to learn solving sentiment analysis problems using Python.

  • Do I need to install any software before starting the course?

    You should have Python and Jupyter Notebook installed on your system.

  • What is the refund policy?

    The course is free of charge.

  • Do I need to take the modules in a specific order?

    We would highly recommend taking the course in the order in which it has been designed to gain the maximum knowledge from it.

  • Do I get certificate upon completion of the course?

    This is a free course and therefore there is no certificate involved.

  • What is the fee for this course?

    The course is free of charge.

  • Is there any placement support?

    This is an introductory course and this does not include any placement support. Once you have worked on a few data science projects and hackathons, you can always apply to jobs on Analytics Vidhya portal.

Support for Twitter Sentiment Analysis

Support for Twitter Sentiment Analysis course can be availed through any of the following channels: