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学生对 Coursera Project Network 提供的 Sentimental Analysis on COVID-19 Tweets using python 的评价和反馈

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课程概述

By the end of this project you will learn how to preprocess your text data for sentimental analysis. So in this project we are going to use a Dataset consisting of data related to the tweets from the 24th of July, 2020 to the 30th of August 2020 with COVID19 hashtags. We are going to use python to apply sentimental analysis on the tweets to see people's reactions to the pandemic during the mentioned period. We are going to label the tweets as Positive, Negative, and neutral. After that, we are going to visualize the result to see the people's reactions on Twitter. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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YH

Nov 12, 2020

It was a good focused exercise on solving the problem statement

SR

Dec 2, 2020

Great idea! Loved to follow you along on this project!

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1 - Sentimental Analysis on COVID-19 Tweets using python 的 9 个评论(共 9 个)

创建者 Yamini H

Nov 13, 2020

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Dec 3, 2020

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Jan 10, 2021

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Feb 5, 2021

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Jan 19, 2021

创建者 ARSH B 1

Dec 20, 2021

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Feb 25, 2021

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Jun 22, 2021

创建者 Chung M

Mar 7, 2021