Right now there are many files being put into the "check" folder that should be filtered alltogether.
Maybe the following simple classifier can be used:
Each possible tatort name is a class, than we extract the following features:
Name similarity; IsTeamMemberInDescription, IsCityInDescription...
Namesimilarity is probably passed to a transformation function such that only very high values are considered. Than i simply calculate the covex combination of the features with weights. Maybe the current function can be used to generate a dataset such that we can tune the weights or i will simply tune them by hand
Right now there are many files being put into the "check" folder that should be filtered alltogether.
Maybe the following simple classifier can be used:
Each possible tatort name is a class, than we extract the following features:
Name similarity; IsTeamMemberInDescription, IsCityInDescription...
Namesimilarity is probably passed to a transformation function such that only very high values are considered. Than i simply calculate the covex combination of the features with weights. Maybe the current function can be used to generate a dataset such that we can tune the weights or i will simply tune them by hand