. 2020 Jul 10;17(14):4988. doi: 10.3390/ijerph17144988

Table A1.

Notation table.

Notation	Description
$p a t t e r n p o o l$	A subset of the extraction patterns that tend to extract the seed words
$c a n d i d a t e w o r d p o o l$	The candidate nouns extracted by $p a t t e r n p o o l$ are placed in $c a n d i d a t e w o r d p o o l$
$T C$	Total correlation, also called multi-information, it quantifies the redundancy or dependency among a set of $n$ random variables.
$D_{K L}$	Kullback–Leibler divergence, also called relative entropy, is a measure of how probability distribution is different from a second, reference probability distribution [50].
$p (x_{G})$	Probability densities of $X_{G}$
$I (X : Y)$	The mutual information between two random variables
$p (y \| x)$	$y$ ’s dependence on $x$ can be written in terms of a linear number of parameters which are just the estimate marginals
$δ$	The Kronecker delta, a function of two variables. The function is 1 if the variables are equal, and 0 otherwise.
$Z_{j} (x)$	A constant used to ensure the normalization of $p (y \| x)$ for each $x$ . It can be calculated by summing $\| y \| = k$ , an initial parameter.