Data Files

Data Description:

Sr No.	Column Name	Description
1	name	It consists of company label for the top 93 companies
2	date	Date on which the tweets from the company were created.
3	tweets	It is a stringified list of tweet data tweeted by the company. (consisting of the tweet text, tweet created_at, tweet likes and the tweet retweets)
4	count_tweets	Number of tweets tweeted by that company on a particular day.
5	avg_tweet_likes	Average tweet likes for all tweets on a particular day.
6	avg_tweet_retweets	Average tweet retweets for all tweets on a particular day.
7	chatter	It is a stringified list of tweet data tweeted about the company by any other user. (consisting of the tweet text, tweet created_at, tweet likes and the tweet retweets)
8	followers	Follower count of the company on a particular day.
9	following	Following count of the company on a particular day.
10	change	absolute change in followers = {f(n) − f(n − 1)}/f(n − 1), where f(n) is the number of followers on nth day
11	rank	The rank of the company based on the change in the number of followers for a particular day.
12	rank on the following day (dpv1)	The rank of the company for the next day from the given date. ( Dependent Variable - 1 )
13	rank 2 days later (dpv2)	The rank of the company 2 days later from the given date. (Dependent Variable - 2)
14	rank 3 days later (dpv3)	The rank of the company 3 days later from the given date. (Dependent Variable - 3)

Note: Please avoid using the company_name and the date as a feature for training the model as it won't be provided in the test dataset.

DataDash 2021 (Model Development Round) by FischerJordan