RT Book
T1 Principal Components of the Meaning
A1 Gorban, Alexander
A1 Suzen, Neslihan
A1 Mirkes, Evgeny
A1 Levesley, Jeremy
A2 Suzen, Neslihan
A2 Mirkes, Evgeny
A2 Levesley, Jeremy
LA English
YR 2020
UL https://krimdok.uni-tuebingen.de/Record/1866306790
AB In this paper we argue that (lexical) meaning in science can be represented in a 13 dimension Meaning Space. This space is constructed using principal component analysis (singular decomposition) on the matrix of word category relative information gains, where the categories are those used by the Web of Science, and the words are taken from a reduced word set from texts in the Web of Science. We show that this reduced word set plausibly represents all texts in the corpus, so that the principal component analysis has some objective meaning with respect to the corpus. We argue that 13 dimensions is adequate to describe the meaning of scientific texts, and hypothesise about the qualitative meaning of the principal components