Chevron Left
Retour à Sentimental Analysis on COVID-19 Tweets using python

Avis et commentaires pour d'étudiants pour Sentimental Analysis on COVID-19 Tweets using python par Coursera Project Network

4.6
étoiles
48 évaluations

À propos du cours

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....

Meilleurs avis

YH

12 nov. 2020

It was a good focused exercise on solving the problem statement

SR

2 déc. 2020

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

Filtrer par :

1 - 9 sur 9 Avis pour Sentimental Analysis on COVID-19 Tweets using python

par Yamini H

13 nov. 2020

par Sara R R

3 déc. 2020

par Serhii D

10 janv. 2021

par Meer M A

5 févr. 2021

par Aniruddh M

19 janv. 2021

par ARSH B 1

20 déc. 2021

par Robert B

25 févr. 2021

par Şifa T

22 juin 2021

par Chung M

7 mars 2021