I am currently training a classifier via
textcat.teach. I have imported a pattern file with a few patterns that might correspond to the label that I want.
Since I have a few patterns, these patterns may occur simultaneously in one text-file. However, my intention is that I would simply accept the classification as long as it fulfills one guideline (regardless if other patterns gives negative indication). In this aspect, I refer to @ines previous reply on another thread:
My concern lies in whether the
textcat.teach recipe considers the highlighted tokens/spans in making a determining a likelihood of whether the textfile gets classified to the label. For eg. does the recipe consider the neighbouring words of the highlighted tokens/spans? Or other related issues.
Or I could simply just accept/reject the label, without concerning the highlighted text?