Considering hypothesis-1 and 2 as a base, Sharma et al., (2015) claimed that the word embeddings (context vectors) of high intensity words depict higher cosine-similarity with each other than with low or medium intensity words.
they used word embeddings which capture only syntactic and semantic similarity among words (Mikolov et al., 2013).