Avis et commentaires pour d'étudiants pour Sentimental Analysis on COVID-19 Tweets using python par Coursera Project Network
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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!
1 - 9 sur 9 Avis pour Sentimental Analysis on COVID-19 Tweets using python
par Yamini H
•13 nov. 2020
It was a good focused exercise on solving the problem statement
par Sara R R
•3 déc. 2020
Great idea! Loved to follow you along on this project!
par Serhii D
•10 janv. 2021
Good starting project for data visualizing field.
par Meer M A
•5 févr. 2021
Great and helpful.
par Aniruddh M
•19 janv. 2021
Good one!
par ARSH B 1
•20 déc. 2021
good
par Robert B
•25 févr. 2021
Excellent overview of the topic of analyzing twitter data for creating a basic sentiment dataset and creation of related visualizations using Seaborn, and Plotly Express.
par Åžifa T
•22 juin 2021
It was good and efficient to work on it. thanks
par Chung M
•7 mars 2021
I love the step-by-step approach to conduct sentiment analysis in this course. The instructor guided me through all the code and therefore let me experiment on my own. However, I would appreciate if he could give more explanation on the theory (polarity score) and code concept (''join). Apart from the sentiment result of 'positive', 'negative' and 'neutral', everything else is the same as the Twitter Sentiment Analysis beginner course. I hope it would offer at least the concept of polarity score. Thank you for offering the course anyway!
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