#' @export
look_for_words <- function(text_data_frame, words_to_search_for){
if(!is.data.frame(text_data_frame)){
stop("The object 'text_data_frame' must be a data.frame (or similar...)")
}
if(!is.character(words_to_search_for)){
stop("The object 'words_to_search_for' must be a character vector")
}
if(is.null(text_data_frame$doc_id) | is.null(text_data_frame$text)){
stop("There must be at least these two columns in your text data.frame: 'doc_id' and 'text'")
}
if(!is.character(text_data_frame$text)){
stop("The column 'text' of your text data.frame must be a character vector")
}
data_words <- data.frame(t(as.matrix(words_to_search_for)),
stringsAsFactors = F)
names(data_words) <- words_to_search_for
counts <- purrr::map_df(data_words, .f = function(x){
purrr::map(text_data_frame[, "text"], stringr::str_count, x) %>%
unlist()
})
doc_id <- text_data_frame$doc_id
counts <- cbind(doc_id, counts)
class(counts) <- c("data.frame", "wordSearchResults_data_frame")
counts
}
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