Hey everyone,
I've been working on a project where I need to extract keywords from a bunch of articles, but I want the keywords to be more context-aware rather than just frequency-based. I’ve tried TF-IDF and RAKE, but the results still feel kind of generic.
Has anyone had luck using transformer models or any specific libraries that helped with this? Open to any suggestions or even just hearing how others tackled similar problems.
Thanks in advance!
