Package tm.plugin.lexisnexis
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- Rudolf Hill
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1 Type Package Package tm.plugin.lexisnexis June 5, 2018 Title Import Articles from 'LexisNexis' Using the 'tm' Text Mining Framework Version Date Imports utils, NLP, tm (>= 0.6), xml2, ISOcodes Description Provides a 'tm' Source to create corpora from articles exported from the 'LexisNexis' content provider as HTML files. It is able to read both text content and meta-data information (including source, date, title, author and pages). Note that the file format is highly unstable: there is no warranty that this package will work for your corpus, and you may have to adjust the code to adapt it to your particular format. License GPL (>= 2) URL BugReports NeedsCompilation no Author Milan Bouchet-Valat [aut, cre] Maintainer Milan Bouchet-Valat <nalimilan@club.fr> Repository CRAN Date/Publication :09:23 UTC R topics documented: tm.plugin.lexisnexis-package LexisNexisSource readlexisnexishtml Index 6 1
2 2 tm.plugin.lexisnexis-package tm.plugin.lexisnexis-package A plug-in for the tm text mining framework to import articles from LexisNexis Description This package provides a tm Source to create corpora from articles exported from the LexisNexis content provider as HTML files. Details Typical usage is to create a corpus from HTML files exported from LexisNexis (here called mylexisnexisarticles.html). Setting language=na allows the language to be set automatically from the information provided by Factiva: # Import corpus source <- LexisNexisSource("myLexisNexisArticles.html") corpus <- Corpus(source, readercontrol = list(language = NA)) # See how many articles were imported corpus # See the contents of the first article and its meta-data inspect(corpus[1]) meta(corpus[[1]]) Currently, only HTML files saved in English and French are supported. Please send the maintainer examples of LexisNexis files in your language if you want it to be supported. See link{lexisnexissource} for more details and real examples. Author(s) Milan Bouchet-Valat <nalimilan@club.fr> References
3 LexisNexisSource 3 LexisNexisSource LexisNexis Source Description Construct a source for an input containing a set of articles exported from LexisNexis in the HTML format. Usage LexisNexisSource(x, encoding = "UTF-8") Arguments x encoding Either a character identifying the file or a connection. A character giving the encoding of x. It will be ignored unless the HTML input does not include this information, which should normally not happen with files exported from LexisNexis. Details This function imports the body of the articles, but also sets several meta-data variables on individual documents: datetimestamp: The publication date. heading: The title of the article. origin: The newspaper the article comes from. intro: The short introduction accompanying the article. section: The part of the newspaper containing the article. subject: One or several keywords defining the subject. coverage: One or several keywords identifying the covered regions. company: One or several keywords identifying the covered companies. stocksymbol: One or several keywords identifying the stock exchange symbols of the covered companies. industry: One or several keywords identifying the covered industries. type: The type of source from which the document originates. wordcount: The number of words in the article. publisher: The publisher of the newspaper. rights: The copyright information associated with the article. language: This information is set automatically if readercontrol = list(language = NA) is passed (see the example below). Else, the language specified manually is set for all articles. If omitted, the default, "en", is used.
4 4 readlexisnexishtml Please note that dates are not guaranteed to be parsed correctly if the machine from which the HTML file was exported uses a locale different from that of the machine where it is read. Currently, only HTML files saved in English and French are supported. Please send the maintainer examples of LexisNexis files in your language if you want it to be supported. Value An object of class LexisNexisSource which extends the class Source representing set of articles from LexisNexis. Author(s) Milan Bouchet-Valat See Also readlexisnexishtml for the function actually parsing individual articles. getsources to list available sources. Examples library(tm) file <- system.file("texts", "lexisnexis_test_en.html", package = "tm.plugin.lexisnexis") corpus <- Corpus(LexisNexisSource(file)) # See the contents of the documents inspect(corpus) # See meta-data associated with first article meta(corpus[[1]]) readlexisnexishtml Read in a LexisNexis article in the HTML format Description Read in an article exported from LexisNexis in the HTML format. Usage readlexisnexishtml(elem, language, id)
5 readlexisnexishtml 5 Arguments elem language id A list with the named element content which must hold the document to be read in. A character vector giving the text s language. If set to NA, the language will automatically be set to the value reported in the document (which is usually correct). A character vector representing a unique identification string for the returned text document. Value A PlainTextDocument with the contents of the article and the available meta-data set. Author(s) Milan Bouchet-Valat See Also getreaders to list available reader functions.
6 Index eoi.lexisnexissource (LexisNexisSource), 3 getelem.lexisnexissource (LexisNexisSource), 3 getreaders, 5 getsources, 4 LexisNexisSource, 3 readlexisnexishtml, 4, 4 tm.plugin.lexisnexis (tm.plugin.lexisnexis-package), 2 tm.plugin.lexisnexis-package, 2 6
Package tm.plugin.factiva
Package tm.plugin.factiva February 15, 2013 Type Package Title Import articles from Factiva using the tm text mining framework Version 1.2 Date 2013-01-28 Enhances tm (>= 0.5) Imports tm (>= 0.5), XML
Package tm.plugin.factiva
Type Package Package tm.plugin.factiva November 20, 2017 Title Import Articles from 'Factiva' Using the 'tm' Text Mining Framework Version 1.7 Date 2017-11-20 Imports NLP, tm (>= 0.7-2), xml2, rvest Description
Package tm.plugin.factiva
Type Package Package tm.plugin.factiva February 20, 2015 Title Import articles from Factiva using the tm text mining framework Version 1.5 Date 2014-06-05 Imports NLP, tm (>= 0.6), XML Description This
Package datasets.load
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