Chevron Left
Back to Sentimental Analysis on COVID-19 Tweets using python

Learner Reviews & Feedback for Sentimental Analysis on COVID-19 Tweets using python by Coursera Project Network

42 ratings

About the Course

By the end of this project you will learn how to preprocess your text data for sentimental analysis. So in this project we are going to use a Dataset consisting of data related to the tweets from the 24th of July, 2020 to the 30th of August 2020 with COVID19 hashtags. We are going to use python to apply sentimental analysis on the tweets to see people's reactions to the pandemic during the mentioned period. We are going to label the tweets as Positive, Negative, and neutral. After that, we are going to visualize the result to see the people's reactions on Twitter. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews


Nov 12, 2020

It was a good focused exercise on solving the problem statement


Dec 2, 2020

Great idea! Loved to follow you along on this project!

Filter by:

1 - 9 of 9 Reviews for Sentimental Analysis on COVID-19 Tweets using python

By Yamini H

Nov 13, 2020

By Sara R R

Dec 3, 2020

By Serhii D

Jan 10, 2021

By Meer M A

Feb 5, 2021

By Aniruddh M

Jan 19, 2021


Dec 20, 2021

By Robert B

Feb 25, 2021

By Şifa T

Jun 22, 2021

By Chung M

Mar 7, 2021