Bewertung und Feedback des Lernenden für Sentimental Analysis on COVID-19 Tweets using python von Coursera Project Network
Ãœber den Kurs
Top-Bewertungen
YH
12. Nov. 2020
It was a good focused exercise on solving the problem statement
SR
2. Dez. 2020
Great idea! Loved to follow you along on this project!
1 - 9 von 9 Bewertungen für Sentimental Analysis on COVID-19 Tweets using python
von Yamini H
•13. Nov. 2020
It was a good focused exercise on solving the problem statement
von Sara R R
•3. Dez. 2020
Great idea! Loved to follow you along on this project!
von Serhii D
•10. Jan. 2021
Good starting project for data visualizing field.
von Meer M A
•5. Feb. 2021
Great and helpful.
von Aniruddh M
•19. Jan. 2021
Good one!
von ARSH B 1
•20. Dez. 2021
good
von Robert B
•25. Feb. 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.
von Åžifa T
•22. Juni 2021
It was good and efficient to work on it. thanks
von Chung M
•7. März 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!
Coursera Footer
