I try to build the user specific model which predicts whether arbitrary English text is complex for particular user or not. Having the complex and easy text samples allows to build such model but what if I have only complex samples. How can I build the model in such case?
I can detect whether the given text is different (find the "outlier") from those which user marked as difficult. But that information does not tell me in which way it's different. The text could be easier or more difficult.
Currently I see only one way - make an assumption about how the easy text could look like. But it's kind of unsafe since different people might have own unique areas which they do not understand in the text.