The goal of this document is to show a sample script for pattern-based entity recognition over text documents using the openNLP (natural language processing) and the tm (text mining) packages in R.

The goal of this document is to show a sample script for pattern-based entity recognition over text documents using a gazetteer. It mainly uses the openNLP (natural language processing), the tm (text mining) and the SPARQL packages in R.

The goal of this document is to show how to perform different annotations (word, sentence, part-of-speech, and Penn Treebank parse) over text documents using the openNLP (natural language processing) and the tm (text mining) packages in R.

The goal of this document is to show how to perform different analyses of text documents at a word level, mainly using the tm (text mining) package in R.

This script contains an example of accessing annotations in a text corpus.

This script contains an example of annotating a text corpus with word, sentence, part-of-speech, and parse tree annotations.

This script contains examples of creating n-gram clouds from a text corpus.

This script contains an example of creating a word cloud from a text corpus.

This script contains an example of creating a word document graph from a text corpus.

This script contains an example of making association analyses in a text corpus.

This script contains an example of creating a term document matrix (TDM) from a text corpus using TF-IDF weights.

This script contains an example of creating a term document matrix (TDM) from a text corpus.

This script contains an example of applying transformations to a text corpus.

This script contains an example of inspecting a text corpus.

This script contains an example of loading text corpora.

Document with a sample script in which Linked Data on the Web are easily integrated to perform some analyses.