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If a method is not generalizable to the entire dataset, it's not that useful. When processing text at large scale, the usefulness of heuristic approaches like
by rmbyrro 4y ago
If a method is not generalizable to the entire dataset, it's not that useful.
When processing text at large scale, the usefulness of heuristic approaches like the one we're discussing diminishes rapidly.
- JimDabell 4y ago> If a method is not generalizable to the entire dataset, it's not that useful. No, in many situations, something doesn’t have to be perfect to be useful. Again, I think you are missing the original point being made: > Depending upon your use-case, you can get pretty good results by… You seem to be responding as if I said: > For all use-cases, you can get flawless results by… Pointing out that this is not perfect is irrelevant to the point I was making. “Good enough” is usually good enough.