Install Requirements

Generate Hits per country:

python3 correlation_rank.py -g <ground_truth file> -c <file to correlate> -b <Column Name to get from correlate file (different each time)> -m <method, 'pearson' or 'spearman'>

example: python3 correlation_rank.py -g grown_truth_hostile_friendly.csv -c regulation_score1643121948.csv -b 'Score Ratio' -m spearman

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.vscode		.vscode
__pycache__		__pycache__
searches		searches
.env.template		.env.template
.gitignore		.gitignore
.~lock.BRI_Mining_Results.xlsx#		.~lock.BRI_Mining_Results.xlsx#
.~lock.correllation_spearman_norm_1643632496.csv#		.~lock.correllation_spearman_norm_1643632496.csv#
.~lock.ground_truth_df_norm1643632616.csv#		.~lock.ground_truth_df_norm1643632616.csv#
.~lock.grown_truth_hostile_friendly.csv#		.~lock.grown_truth_hostile_friendly.csv#
BRI Sources 2022 (Autosaved).xlsx		BRI Sources 2022 (Autosaved).xlsx
BRI_Mining_Results.csv		BRI_Mining_Results.csv
BRI_Mining_Results.ods		BRI_Mining_Results.ods
BRI_Mining_Results.xlsx		BRI_Mining_Results.xlsx
README.md		README.md
calculate_scores.py		calculate_scores.py
correlation_rank.py		correlation_rank.py
ground_truth_european.csv		ground_truth_european.csv
ground_truth_global.csv		ground_truth_global.csv
grown_truth_hostile_friendly.csv		grown_truth_hostile_friendly.csv
index.py		index.py
regulation.csv		regulation.csv
regulation_score1643121948.csv		regulation_score1643121948.csv
related_values.py		related_values.py
related_values_generator.py		related_values_generator.py
requirements.txt		requirements.txt
results.json		results.json
utils.py		utils.py