gather_topics: Gather topic from political discourses

In henriquesposito/poldis: Analyse Political Texts

Gather topic from political discourses

Description

Gather topic from political discourses

Usage

gather_topics(.data, dictionary = "CAP")

Arguments

.data

A data frame, priorities data frame coded using 'select_priorities()', or text vector. For data frames, function will search for "text" variable. For priorities data frame function will search for "priorities" variable. If missing, opens the webpage containing the political topics codebook.

dictionary

The dictionary of 20 major political topics from the Comparative Agendas Project (Jones et al., 2023) is used by default. Users can also declare a custom dictionary as a vector or a list. If users declare a vector, each element is treated as a independent topic. If users declare a list of subjects and related terms, function understands names as topic and words as terms. For more information on how the CAP topics were adapted, please run 'gather_topics()' to access the political topics codebook.

Value

A list of topics present in each text separated by comma.

Examples

gather_topics(US_News_Conferences_1960_1980[1:5, 3])
gather_topics(US_News_Conferences_1960_1980[1:5, 3],
              dictionary = c("military", "development"))
gather_topics(US_News_Conferences_1960_1980[1:5, 3],
              dictionary = list("military" = c("military", "gun", "war"),
                                "development" = c("development", "interest rate", "banks")))
#summary(gather_topics(US_News_Conferences_1960_1980[1:5, 3]))
#plot(gather_topics(US_News_Conferences_1960_1980[1:5, 3],
#                   dictionary = c("military", "development")))

henriquesposito/poldis documentation built on Sept. 8, 2024, 5:38 a.m.