TopicSummary: Find the main stems associated with a topic

In christophergandrud/ExpAgenda: Bayesian hierarchical expressed agenda estimation using Grimmer (2010)

Description

TopicSummary uses mus estimated from ExpAgendaVonmon to find the main word stems estimated to be associated with a given topic.

Usage

  TopicSummary(obj, NStems = 10)

Arguments

obj	an ExpAgendaOut class object created by ExpAgendaVonmon.
NStems	numeric. The number of stems with the most mutual information, i.e. the main stems in a topic.

Value

A data frame with three columns: TopicNumber, Stems, and Mus.

christophergandrud/ExpAgenda documentation built on May 13, 2019, 7:01 p.m.