textmining

Google Summer of Code -Integration text mining and topic modelling tools for R

One can install this package using command library(devtools) install_github('jandziak/textmining')

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Install

install.packages('textmining')

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Version

0.0.1

License

GPL-3

Maintainer

Jan Idziak

Last Published

September 26th, 2016

Functions in textmining (0.0.1)

parse

Function to parse tmCorpus. As an outpus we have tmParsed object.

make_tabled

Function to create tmWordCountsTable object from tmParsed

getDoc

Function to access documents for textmining objects

mallet_prepare

Helper function to use mallet topic modelling with tmCorpus

ngram

Function to create ngram docs

filter_documents

Function to filter tagged text

getMeta

Function to access meta data for textmining objects

setDoc

Function to change documents for textmining objects

tmCorpus

Function to create tmCorpus

tmTaggedCorpus

Function to create tmTaggedCorpus

tmWordCountsTable

Function to create tmWordCountsTable

tmMetaData

Function to create tmMetaData

tmTextDocument

Function to create single tmTextDocument with meta data. The object can store any from of documents: raw (string), parsed or table of words counts.

topic_network

Function to plot topic network

terms

Function to return the most frequent terms of tmTopicModels

tmParsed

Function to create tmParsed

setMeta

Function to access meta data for textmining objects

tabler

Helper function for tabelarising documents

topic_table

Function to calculate topics and words arrays from the mallet model.

topic_wordcloud

Simple wordcloud visualization of the topics.

train

train for tmCorpus object

as.tmCorpus

Create textmining Corpus

predict

predict for tmTopicModel object