One can explain semantic changes with words-significant associated words or terms that correlate to the target word's meaning drift.
letting w be the target word, and t be a time point, we are looking for words that became closer to w in vector space during t. we look at the nearest neighbors of w at times t and t − 1, and denote the set of descriptors by D t : For example, using this method for 'Russia' results in Soviet Union and Soviet for 1989, when the Soviet Union was dissolving, and Ukraine, Kyrgyzstan, and latvia for 1990, when these countries attempted to gain independence from the Union.