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55 lines
2.5 KiB
55 lines
2.5 KiB
#' Get ids of duplicate documents that have a cosine similarity score higher than [threshold]
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#'
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#' Get ids of duplicate documents that have a cosine similarity score higher than [threshold]
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#' @param row Row of grid to parse
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#' @param grid A cross-table of all possible combinations of doctypes and dates
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#' @param cutoff Cutoff value for cosine similarity above which documents are considered duplicates
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#' @param es_pwd Password for Elasticsearch read access
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#' @return dupe_objects.json (containing each id and all its duplicates) and remove_ids.txt (list of ids to be removed) in current working directory
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#' @export
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#' @examples
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#' dupe_detect(1,grid,es_pwd)
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#################################################################################################
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#################################### Duplicate detector ################################
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#################################################################################################
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dupe_detect <- function(row, grid, cutoff, es_pwd) {
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params <- grid[row,]
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print(paste0('Parsing ',params$doctypes,' on ',params$dates ))
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query <- paste0('{"query":
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{"bool": {"filter":[{"term":{"doctype": "',params$doctypes,'"}},
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{"range" : {
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"publication_date" : {
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"gte" : "',params$dates,'T00:00:00Z",
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"lt" : "',params$dates+1,'T00:00:00Z"
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}
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}}]
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} } }')
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out <- elasticizer(query, es_pwd = es_pwd)
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dfm <- dfm_gen(out, text = "full")
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simil <- as.matrix(textstat_simil(dfm, margin="documents", method="cosine"))
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diag(simil) <- NA
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simil_og <- simil
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df <- as.data.frame(which(simil >= cutoff, arr.ind = TRUE)) %>%
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rownames_to_column("rowid") %>%
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mutate(colid = colnames(simil)[col]) %>%
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.[,c(1,4)] %>%
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group_by(colid) %>% summarise(rowid=list(rowid))
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text <- capture.output(stream_out(df))
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write(text[-length(text)], file = paste0(getwd(),'/dupe_objects.json'), append=T)
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simil[upper.tri(simil)] <- NA
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write(unique(rownames(which(simil >= cutoff, arr.ind = TRUE))),
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file = paste0(getwd(),'/remove_ids.txt'),
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append=T)
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### Dummy code to verify that filtering out unique ids using the bottom half of the matrix actually works
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# id_filter <- unique(rownames(which(simil >= cutoff, arr.ind = TRUE)))
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# dfm_nodupes <- dfm_subset(dfm, !(docnames(dfm) %in% id_filter))
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# simil_nodupes <- as.matrix(textstat_simil(dfm_nodupes, margin="documents", method="cosine"))
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# diag(simil_nodupes) <- NA
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# which(simil_nodupes >= cutoff, arr.ind = TRUE)
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}
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