學生對 Coursera Project Network 提供的 Sentimental Analysis on COVID-19 Tweets using python 的評價和反饋
課程概述
熱門審閱
YH
2020年11月12日
It was a good focused exercise on solving the problem statement
SR
2020年12月2日
Great idea! Loved to follow you along on this project!
1 - Sentimental Analysis on COVID-19 Tweets using python 的 9 個評論（共 9 個）
創建者 Yamini H
•2020年11月13日
It was a good focused exercise on solving the problem statement
創建者 Sara R R
•2020年12月3日
Great idea! Loved to follow you along on this project!
創建者 Serhii D
•2021年1月10日
Good starting project for data visualizing field.
創建者 Meer M A
•2021年2月5日
Great and helpful.
創建者 Aniruddh M
•2021年1月19日
Good one!
創建者 ARSH B 1
•2021年12月20日
good
創建者 Robert B
•2021年2月25日
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.
創建者 Şifa T
•2021年6月22日
It was good and efficient to work on it. thanks
創建者 Chung M
•2021年3月7日
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
