Hi, I am wondering if there is some references on how R can be used to analyse legal/court documents. I searched a bit in internet but unable to get anything meaningful. Any reference will be very appreciated. Thanks for your time. Thanks and regards,
Hi Brian. I assume you're interested in some kind of classification of the theme or the contents within each document? In which case I would direct you to natural language processing for multinomial classification of unstructured data. Basically an NLP (natural language processing) classification problem. The first challenge will be obtaining human-labeled training examples of a sufficient number of example documents. Thanks, Tom Quoting Brian Smith <briansmith199312 at gmail.com>:> Hi, > > I am wondering if there is some references on how R can be used to > analyse legal/court documents. I searched a bit in internet but unable > to get anything meaningful. > > Any reference will be very appreciated. > > Thanks for your time. > > Thanks and regards, > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
Look here: https://cran.r-project.org/web/views/NaturalLanguageProcessing.html Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Jul 20, 2021 at 8:47 AM Brian Smith <briansmith199312 at gmail.com> wrote:> Hi, > > I am wondering if there is some references on how R can be used to > analyse legal/court documents. I searched a bit in internet but unable > to get anything meaningful. > > Any reference will be very appreciated. > > Thanks for your time. > > Thanks and regards, > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]