Project: Develop an application to collect twitter data for COVID-19 since January 1, 2020. 1. Besides Twitter identify other online sources of information we could use to collect COVID-19 data.

Project:  Develop an application to collect twitter data for COVID-19 since January 1, 2020. 1. Besides Twitter identify other online sources of information we could use to collect COVID-19 data. 2. Develop a web scraper and database schema for storing content from Twitter 3. Cluster content to identify most discussed topics 4. Within the cluster find opposing viewpoints You will only implement steps 1 and 2 above.  Here are the details for steps 1 and 2 1. To start, find online resources we could use that contain opposing views on the COVID-19 virus. Maybe Fox vs. CNN?  Maybe Twitter? After you find and list some online sources we can use, next work with Twitter data. 2. Develop a twitter scraper.   You can find plenty of Python examples online using twitter and mysql to collect data from Twitter.   Here’s an online example you can follow: 3. Collect data from twitter on COVID-19 since Jan 1, 2020 to May 12, 2020 in Python. Identify different sub-topics (i.e. “threat of an outbreak in US”, “testing”, “how virus is transmitted”,  “drugs to cure”, “availability of vaccine”, “trump performance” etc….other sub-topics to be identified. You can create a database called COVID-19.  Then create a database table with the subtopics and all twitter user features. We want to collect all the information relating to a tweet.  For example, 1. who tweeted 2. date tweeted 3. followers 4. was tweet retweeted