NLP--modes_of_communication--families-healthcare_professionals

Natural language processing to measure communication between healthcare professionals and family members of critically ill patients

Files

01_webscraper.py: webscraper used to collect people's names from the internet

02_pre-processing.py: it includes all pre-processing and dataset construction methods

03_ML_approach_part1.py: stratified 10-fold cross-validation grid search for machine learning (logistic regression, support vector machine, random forest and adaptive boosting)

04_ML_approach_part2.py: stratified 10-fold cross-validation grid search for machine learning (neural network)

05_ML_approach_summary.py: it combines results from parts one and two and summarizes the best performing methods

06_RBC_approach.py: rule based classifier approach

auxiliar_data.xlsx: includes auxiliar information used by Python files

input_file.xlsx: shows an example of how the input file should be structured in order to be used with the Python files