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73 lines
3.9 KiB
73 lines
3.9 KiB
#' Parse raw text into a single field
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#'
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#' Parse raw text into a single field
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#' @param out The original output data frame
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#' @param field Either 'highlight' or '_source', for parsing of the highlighted search result text, or the original source text
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#' @param clean Boolean indicating whether the results should be cleaned by removing words matching regex (see code)
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#' @return a parsed output data frame including the additional column 'merged', containing the merged text
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#' @examples
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#' out_parser(out,field)
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#################################################################################################
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#################################### Parser function for output fields ##########################
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#################################################################################################
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out_parser <- function(out, field, clean = F) {
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fncols <- function(data, cname) {
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add <-cname[!cname%in%names(data)]
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if(length(add)!=0) data[add] <- NA
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data
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}
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out <- fncols(out, c("highlight.text","highlight.title","highlight.teaser", "highlight.subtitle", "highlight.preteaser", '_source.text', '_source.title','_source.teaser','_source.subtitle','_source.preteaser'))
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if (field == 'highlight') {
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out <- replace(out, out=="NULL", NA)
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### Replacing empty highlights with source text (to have the exact same text for udpipe to process)
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out$highlight.title[is.na(out$highlight.title)] <- out$`_source.title`[is.na(out$highlight.title)]
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out$highlight.text[is.na(out$highlight.text)] <- out$`_source.text`[is.na(out$highlight.text)]
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out$highlight.teaser[is.na(out$highlight.teaser)] <- out$`_source.teaser`[is.na(out$highlight.teaser)]
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out$highlight.subtitle[is.na(out$highlight.subtitle)] <- out$`_source.subtitle`[is.na(out$highlight.subtitle)]
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out$highlight.preteaser[is.na(out$highlight.preteaser)] <- out$`_source.preteaser`[is.na(out$highlight.preteaser)]
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out <- out %>%
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mutate(highlight.title = str_replace_na(highlight.title, replacement = '')) %>%
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mutate(highlight.subtitle = str_replace_na(highlight.subtitle, replacement = '')) %>%
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mutate(highlight.preteaser = str_replace_na(highlight.preteaser, replacement = '')) %>%
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mutate(highlight.teaser = str_replace_na(highlight.teaser, replacement = '')) %>%
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mutate(highlight.text = str_replace_na(highlight.text, replacement = ''))
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out$merged <- str_c(out$highlight.title,
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out$highlight.subtitle,
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out$highlight.preteaser,
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out$highlight.teaser,
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out$highlight.text,
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'',
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sep = ". ")
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}
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if (field == '_source') {
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out <- out %>%
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mutate(`_source.title` = str_replace_na(`_source.title`, replacement = '')) %>%
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mutate(`_source.subtitle` = str_replace_na(`_source.subtitle`, replacement = '')) %>%
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mutate(`_source.preteaser` = str_replace_na(`_source.preteaser`, replacement = '')) %>%
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mutate(`_source.teaser` = str_replace_na(`_source.teaser`, replacement = '')) %>%
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mutate(`_source.text` = str_replace_na(`_source.text`, replacement = ''))
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out$merged <- str_c(out$`_source.title`,
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out$`_source.subtitle`,
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out$`_source.preteaser`,
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out$`_source.teaser`,
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out$`_source.text`,
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'',
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sep = ". ")
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}
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### Use correct interpunction, by inserting a '. ' at the end of every text field, then removing any duplicate occurences
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# Remove html tags, and multiple consequent whitespaces
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out$merged <- out$merged %>%
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{if(clean == T) str_replace_all(.,"\\S*?[0-9@#$%]+[^\\s!?.,;:]*", "") else . } %>%
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str_replace_all("<.{0,20}?>", " ") %>%
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str_replace_all('(\\. ){2,}', '. ') %>%
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str_replace_all('([!?.])\\.','\\1') %>%
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str_replace_all("\\s+"," ")
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return(out)
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}
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