Goal

Just getting started. Let's have some fun

The main goal is to get Senegalese account profile picture then apply some deep learning to classify a person from that nationality or not

The following step is to so using twint library:

start from a lambda Senegalese user
append followers and followings with to queue:
- twint -u $username --followers --user-full
- twint -u $username --following --user-full
get user bio with:
- twint -u $username --user-full -o "$username.json" --json
try to find Senegal or 🇸🇳 in bio or tweet name to confirm that is Senegalese
once we gather all the dataset we will need do do some cleaning and preprocessing operation on our data
- make sure data distribution is good (same amount of male and female)

Possible options: Get tweets from a specific ip

  latitude=$1
  longitude=$2
  distance=$3
  twint -g="${latitude},${longitude},${distance}km" -o file.csv --csv

Available output formats are csv,json

Follow recipe from Mark @neo4j