dcleres / investing_for_social_good Goto Github PK

• foundations founded by the company

there are different types of ownership and stocks

• We should have a file with: company A has stock 1 (10% of the company), 2 (40% of the company) and 3 (40%)
• Should be a dataframe with [investors, owned company, share of the company owned]

• Ranking could be based on the tweets of year 2017

• sentiments analysis (define a criteria)

• Take keywords

• News dataset

• Twitter Dataset

• the scoring :
  Now base the score on our own knowledge but take someone’s else’s scoring system (UN sustainability scores, find online the 10 most “social good” companies, ...)

List the bias that we have in the data