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Table 5: The twenty most frequent words in hep-th titles. Included is the word with the largest and smallest values of the word-distance d(w1,w2) (from equation 8), as computed by Word2vec.
['Word model', 'Most Similar theory', '[ITALIC] d( [ITALIC] w1, [ITALIC] w2) 0.7775', 'Least Similar entropy', '[ITALIC] d( [ITALIC] w1, [ITALIC] w2) -0.0110']
We refer to these words as the ‘most’ and ‘least’ similar words in the set. So, for example, the word that is “least similar” to “spacetime” is “amplitude”, with d(`spacetime',`amplitude')=0.25. Thus a word like “spacetime” appears in may titles, and develops a contextual affinity with a great many of the 9516 words in our dataset. As a consequence, no word in the hep-th title corpus is truly ‘far’ from the word “spacetime”.