topic_preprocess_2 <- function(df, tmp_1, select= c("PRON","NOUN","ADJ")){
tmp_1 <- filter(tmp_1, upos %in% select)
preprocess <- list()
for(i in 1:length(unique(tmp_1$doc_id))){
text <- paste0(tmp_1[tmp_1$doc_id == unique(tmp_1$doc_id)[i],]$lemma, collapse=" ")
doc <- unique(tmp_1$doc_id)[i]
preprocess[[i]] <- c(doc, text)
}
preprocess_tmp <- as.data.frame(do.call(rbind, preprocess))
tmp.2 <- df[df$status_id %in% preprocess_tmp$V1, ]
tmp.2$text <- preprocess_tmp$V2
return(tmp.2)
}
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