GitHub - AlexCoroiu/affective-computing: using machine learning to identify interlocutor familiarity based on laughter types

AlexCoroiu / affective-computing Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

using machine learning to identify interlocutor familiarity based on laughter types

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
familiar		familiar
unfamiliar		unfamiliar
README		README
classifier.py		classifier.py
createData.py		createData.py
readSRT.py		readSRT.py

Repository files navigation

To run the program you need to run classifier.py. The program will:

-extract data from srt
-build feature vectors according to the desired feature combination
-fine tune parameters for the classifiers
-run each classifier 10 times and print the results

createData.py line 15: change the feature combination to be used [0,1,2]
classifier.py line 12: change the name of the file used to output results from the grid search.