blob: a1d83748830afb4d226499ffbab6665513718214 [file] [log] [blame]
library(RKorAPClient)
library(httr)
library(httpuv)
library(tidyverse)
library(scales)
library(idsThemeR)
icc_base_url = "https://korap.ids-mannheim.de/instance/icc";
connections = list()
icc <- tibble(
lang = c("eng", "ger", "nor"),
app_id = c(
"mTTTnJ6f6hGrPh6dRhbJhJ",
"TMLPTJfP7rHb93bpFp39mL",
"TMFtPJnbb7f4MRmd76Rb34"
)
)
icc_token <- function(lang, app_id, url = paste0(icc_base_url, '/', lang)) {
token_key = paste0("KORAP_ICC_TOKEN_", lang)
token = Sys.getenv(token_key)
if (token != "")
return(token)
korap_app <- oauth_app("icc-iclc10-contribution", key = app_id, secret = NULL)
korap_endpoint <- oauth_endpoint(NULL,
"settings/oauth/authorize",
"api/v1.0/oauth2/token",
base_url = url)
token_bundle = oauth2.0_token(korap_endpoint, korap_app, scope = "search match_info", cache = FALSE)
token = token_bundle[["credentials"]][["access_token"]]
do.call(Sys.setenv, as.list(setNames(token, token_key)))
return(token)
}
icc_con <- function(lang, token = Sys.getenv(paste0("KORAP_ICC_TOKEN_", lang))) {
if ((! lang %in% names(connections)) || is_empty(connections[[lang]])) {
url <- paste0(icc_base_url, '/', lang)
connections[[lang]] <<- new("KorAPConnection", KorAPUrl = url, accessToken = token, cache = F)
}
return(connections[[lang]])
}
icc <- icc %>%
rowwise() %>%
mutate(token = icc_token(lang, app_id))
genre <- c("Blog",
"Creative:Novels_ShortStories",
"Informational:Learned:Humanities",
"Informational:Learned:NaturalSciences",
"Informational:Learned:SocialSciences",
"Informational:Learned:Technology",
"Informational:Popular:Humanities",
"Informational:Popular:NaturalSciences",
"Informational:Popular:SocialSciences",
"Informational:Popular:Technology",
"Informational:Reportage",
"Instructional:AdministrativeRegulatoryProse",
"Instructional:Skills_Hobbies",
"Persuasive"
)
icc_genre <- icc %>%
expand_grid(genre) %>%
mutate(vc = paste0("iccGenre=", genre)) %>%
rowwise() %>%
mutate(tokens= corpusStats(icc_con(lang, token), vc = vc)@tokens)
plot <- icc_genre %>% ggplot(aes(x=lang, fill=genre, y=tokens)) +
geom_col() + scale_y_continuous(labels = label_number(scale_cut = cut_short_scale())) +
theme_ids() +
geom_text(aes(label=if_else(tokens > 0, as.character(tokens), ""), y=tokens), position= position_stack(reverse = F, vjust = 0.5), color="white", size=3.2, family="Fira Sans Condensed")
ggsave("target/tokens_per_genre.png", width = 70 * .pt, height = 45 *.pt, units = "mm", dpi = 800)
ggsave("target/tokens_per_genre.svg", width = 70 * .pt, height = 45 *.pt, units = "mm", dpi = 800)
ggsave("target/tokens_per_genre.pdf", device = cairo_pdf, width = 70 * .pt, height = 45 *.pt, units = "mm", dpi = 800)
if(rstudioapi::isAvailable()) {
print(plot)
}
year <- c(1988:2022)
icc_year <- icc %>%
expand_grid(year) %>%
mutate(vc = paste0("pubDate in ", year)) %>%
rowwise() %>%
mutate(tokens= corpusStats(icc_con(lang, token), vc = vc)@tokens)
plot <- icc_year %>% ggplot(aes(x=year, fill=lang, color=lang, y=tokens)) +
geom_line() + geom_point() + scale_y_continuous(labels = label_number(scale_cut = cut_short_scale())) +
theme_ids()
ggsave("target/tokens_per_year.png", width = 70 * .pt, height = 45 *.pt, units = "mm", dpi = 800)
ggsave("target/tokens_per_year.svg", width = 70 * .pt, height = 45 *.pt, units = "mm", dpi = 800)
ggsave("target/tokens_per_year.pdf", device = cairo_pdf, width = 70 * .pt, height = 45 *.pt, units = "mm", dpi = 800)
if(rstudioapi::isAvailable()) {
print(plot)
}