LockDown3_Tweets.xlsx

Introduction: Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus (2019). In order to avoid spreading of virus in India, On 24 March 2020, the Government of India ordered a nationwide lockdown for 21 days(#LockDown1). On 14 April, Government extended the nationwide lockdown until 3 May, with a conditional relaxation after 20 April for the regions where the spread had been contained(#LockDown2). On 1 May, the Government of India extended the nationwide lockdown further by two weeks until 17 May(#LockDown3). The Government divided the entire nation into three zones—green, red and orange—with relaxations applied accordingly. Data Details: The data was collected using the "searchTwitteR" in RapidMiner using the twitter API. Dataset is created by pulling tweets by hashtag(#Lockdown3) from twitter. There are 9999 rows(one for each tweet) and 10 columns. Rows: 9999 Columns: 1.Created-At 2.From-User 3.From-User-Id 4.To-User 5.To-User-Id 6.Language 7.Source 8.Text 9.Retweet-Count 10.Id Task Details: ü Apply exploratory data analysis ü Create Word cloud ü Apply data preprocessing ü What is the general sentiment of tweets? ü Conclusion regarding tweet sentiments. ü Generate topics (Most discussed topic in lockdown phase 3)