ICYBM121-p1

Big data & computer security - Project 1

To implement

TODO

4. Fake detection with algorithms based on classification rules

table 6: camisani_calzolari_algorithm.py
table 7: camisani_calzolari_algorithm_evaluation.py
table 8: single_rule_evaluation.py and camisani_calzolari_algorithm_evaluation.py

5. Fake detection with algorithms based on feature sets

table 11
table 12
table 13

6. An efficient and lightweight classifier

table 16
table 17
table 18

DONE

3. Baseline datasets

FAK dataset: baseline_dataset.py
- FAK_user_ids.csv
BAS dataset: create_BAS_csv.py
- bas_users.csv
- bas_tweets.csv

Download link for databases

https://botometer.iuni.iu.edu/bot-repository/datasets/cresci-2015/cresci-2015.csv.tar.gz