Text summarization in R language

问题

I have long text file using help of R language I want to summarize text in at least 10 to 20 line or in small sentences. How to summarize text in at least 10 line with R language ?

回答1:

You may try this (from the LSAfun package):

genericSummary(D,k=1)

whereby 'D' specifies your text document and 'k' the number of sentences to be used in the summary. (Further modifications are shown in the package documentation).

For more information: http://search.r-project.org/library/LSAfun/html/genericSummary.html

回答2:

There's a package called lexRankr that summarizes text in the same way that Reddit's /u/autotldr bot summarizes articles. This article has a full walkthrough on how to use it but just as a quick example so you can test it yourself in R:

#load needed packages
library(xml2)
library(rvest)
library(lexRankr)

#url to scrape
monsanto_url = "https://www.theguardian.com/environment/2017/sep/28/monsanto-banned-from-european-parliament"

#read page html
page = xml2::read_html(monsanto_url)
#extract text from page html using selector
page_text = rvest::html_text(rvest::html_nodes(page, ".js-article__body p"))

#perform lexrank for top 3 sentences
top_3 = lexRankr::lexRank(page_text,
                          #only 1 article; repeat same docid for all of input vector
                          docId = rep(1, length(page_text)),
                          #return 3 sentences to mimick /u/autotldr's output
                          n = 3,
                          continuous = TRUE)

#reorder the top 3 sentences to be in order of appearance in article
order_of_appearance = order(as.integer(gsub("_","",top_3$sentenceId)))
#extract sentences in order of appearance
ordered_top_3 = top_3[order_of_appearance, "sentence"]

> ordered_top_3
[1] "Monsanto lobbyists have been banned from entering the European parliament after the multinational refused to attend a parliamentary hearing into allegations of regulatory interference."
[2] "Monsanto officials will now be unable to meet MEPs, attend committee meetings or use digital resources on parliament premises in Brussels or Strasbourg."                                
[3] "A Monsanto letter to MEPs seen by the Guardian said that the European parliament was not “an appropriate forum” for discussion on the issues involved."

来源：https://stackoverflow.com/questions/36064946/text-summarization-in-r-language

标签

text

text-mining

summarization