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Sentiment Analysis of Social Media Data


About Course

Learn to fetch comments and reviews from Social Media and perform Sentiment Analysis: The best technique to gauge your brand’s online reputation.

Using this you can keep a track of what people are posting about your brand on social media channels. Digital Marketers can use this in their sales pitch to win over clients easily.

In this course you will learn:

1. Web Scraping: To extract comments/reviews etc. from various social media channels.

2. Python & Machine Learning: To calculate sentiments from huge volume of comments, within seconds. We will use textblob and Vader python libraries. (Downloadable script given in the course)

3. Google Data Studio: To create a self-updating dashboard, and communicate the results in an interactive manner.


Enrolment validity: Lifetime

Sample Dashboard

By the end of this course, you’ll be able to create a dashboard like this for your brand.

What Will I Learn?

  • Tracking a Brand's Online Reputation
  • Get Deeper Customer Insights
  • Improved Sales Pitch for Marketers
  • Win Over Clients Easily
  • Pre-Written Python Script
  • Web Scraping
  • Machine Learning in Python

Target Audience

  • Digital Marketers
  • Online Reputation Managers
  • Account Managers
  • Marketing Strategists

Topics for this course

14 Lessons2h

0. Welcome to the Course

1. Course Introduction (Free Preview)

2. Fetching Comments from Facebook

3. Fetching Comments from YouTube

4. Fetching Reviews from Amazon

5. Fetching Reviews from Google

6. Performing Sentiment Analysis in Python

7. Making A Self-Updating Dashboard

Student Ratings & Reviews


Enrolment validity: Lifetime

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