This is a question about proper terminology related with what is understood with "Semi-Supervised Classification".
This is my context:
- I have a rule-based classifier.
- I know for sure I can classify my data in a number of N classes.
- I have also a "small" dictionary where my rules check (during classification process) for every observation iterated.
Is this a semi-supervised classification?
For extra points: If the dictionary was built by-hand from a curation process, is this dictionary considered a "training set"?