Отзывы учащихся о курсе Sentimental Analysis on COVID-19 Tweets using python от партнера Coursera Project Network
О курсе
Лучшие рецензии
YH
12 нояб. 2020 г.
It was a good focused exercise on solving the problem statement
SR
2 дек. 2020 г.
Great idea! Loved to follow you along on this project!
1–9 из 9 отзывов о курсе Sentimental Analysis on COVID-19 Tweets using python
автор: Yamini H
•13 нояб. 2020 г.
It was a good focused exercise on solving the problem statement
автор: Sara R R
•3 дек. 2020 г.
Great idea! Loved to follow you along on this project!
автор: Serhii D
•10 янв. 2021 г.
Good starting project for data visualizing field.
автор: Meer M A
•5 февр. 2021 г.
Great and helpful.
автор: Aniruddh M
•19 янв. 2021 г.
Good one!
автор: ARSH B 1
•20 дек. 2021 г.
good
автор: Robert B
•25 февр. 2021 г.
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.
автор: Şifa T
•22 июня 2021 г.
It was good and efficient to work on it. thanks
автор: Chung M
•7 мар. 2021 г.
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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