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
It was a good focused exercise on solving the problem statement
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
•It was a good focused exercise on solving the problem statement
par Sara R R
•Great idea! Loved to follow you along on this project!
par Serhii D
•Good starting project for data visualizing field.
par Meer M A
•Great and helpful.
par Aniruddh M
•Good one!
par ARSH B 1
•good
par Robert B
•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 Şifa T
•It was good and efficient to work on it. thanks
par Chung M
•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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