  We develop a general method for computing logarithmic and log-gamma
expectations of distributions. As a result, we derive series expansions and
integral representations of the entropy for several fundamental distributions,
including the Poisson, binomial, beta-binomial, negative binomial, and
hypergeometric distributions. Our results also establish connections between
the entropy functions and to the Riemann zeta function and its generalizations.
