Naturallanguageprocessing.
to dimensions or coordinate axes in this space. The objects correspond to points in this feature space. It is possible to measure geometrical distance/closeness. According to the lecture: “High-dimensional spaces where d is in the thousands or even millions are not uncommon in ML/NLP.” You can see