This question was originally asked in Webapps.SE but it was put on hold as off-topic. It's also quite different from the majority of questions of this site, but the issue itself is related to data science. Fix me if I'm wrong!I'm working on a YT app that collects videos of the same theme (to be precise: videos about a certain video game) automatically. It first gathers links, starting with a strongly relevant one, and then analyzes the results by relevance.The first step is the key: I'm extremely unsatisfied with natural Youtube search results, so I decided to gather the links in the Related videos. Then gather the Related videos from the related videos, and so on.The question: how much can I trust this method? My test runs went quite far, and adding one simple condition (title must contain the name of the game) I could keep them quite relevant, but how long can I keep it up?I'm wondering on the aspects that can tell if a video is relevant (to which I'm planning to analyze description, title and such), but is it solely up to me, or is there a tendency that shows that related videos are...well...not precisely related?
Is going through Related videos a good method of finding relevant videos?
text mining