Twitter_Campaign_Analyzer

For comparing and plotting various aspects of tweet data of different companies (handles) during a given period.

Problem definition: November is National Diabetes Month. As one might expect, the month experiences an uptick in diabetes advocacy from key opinion leaders, marketing campaigns from diabetes related business, etc. The goal of this analysis is to understand the effectiveness of these campaigns.

Guidelines:

• Defining the framework/metric. Considerations:
  1. # of favorited tweets / # of retweets.
     
  2. # of followers / # of tweets per account could sway data (e.g. a bad campaign with 1 million followers could look better on surface compared to a good campaign with 100 followers).
     The focus is on comparing the Twitter accounts of these companies:
  3. NLP / sentiment analysis.
     
• Analysis of which company within each group had most successful November.
  
• A visual to demonstrate the results.

The focus is on comparing the Twitter accounts of these companies:

1. Medtronic Diabetes vs Omnipod vs Tandem (Continuous Glucose Monitor and/or Insulin Pump makers)
2. One Touch vs AccuChek (USA) vs Abbott Freestyle (meter makers)