Semantic Features Analysis Definition, Examples, Applications
However, they continue to be relevant for contexts in which statistical interpretability and transparency is required. The learning procedures used during machine learning automatically focus on the most common cases, whereas when writing rules by hand it is often not at all obvious where the effort should be directed. Any object that can be expressed[…]