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Sentiment Analysis of Twitter data wordwide about COVID19 and Online Learning

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Examining Public Opinions Regarding Online Learning amid COVID-19

Sentiment Analysis of Twitter data wordwide about COVID19 and Online Learning

This study aims to examine the main topics of discussion on tweeter platform related to the COVID-19 pandemic and online learning. Using a set of statistical tools, Twitter’s search application programming interface (API) and Tweepy Python libraries a total of 31009 English Tweets were extracted between March 10, 2020, to July 25, 2020.

Code and Resources Used

Python Version: 3.7

Packages:

  • Data Collection (Web Scraping): twitterscraper, twitterscraper, pickle
  • Data Cleaning: textblob, emoji
  • Data Analysis: wordcloud, textblob, gensim, scipy, nltk

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Sentiment Analysis of Twitter data wordwide about COVID19 and Online Learning

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