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)