Title: | R/KEA Interface |
---|---|
Description: | An R interface to KEA (Version 5.0). KEA (for Keyphrase Extraction Algorithm) allows for extracting keyphrases from text documents. It can be either used for free indexing or for indexing with a controlled vocabulary. For more information see <http://www.nzdl.org/Kea/>. |
Authors: | Ingo Feinerer [aut], Kurt Hornik [aut, cre] |
Maintainer: | Kurt Hornik <[email protected]> |
License: | GPL-2 |
Version: | 0.0-6 |
Built: | 2024-11-24 06:43:20 UTC |
Source: | CRAN |
Create a keyphrase extraction model.
createModel(corpus, keywords, model, voc = "none", vocformat = "")
createModel(corpus, keywords, model, voc = "none", vocformat = "")
corpus |
A list of character vectors containing the text
documents, e.g., a |
keywords |
A list of character vectors containing the keywords
for each document in |
model |
A character giving the path where the created model should be stored. |
voc |
A character pointing to a controlled vocabulary. |
vocformat |
A character giving the format of |
A tutorial on keyword extraction is located at http://www.nzdl.org/Kea/Download/Kea-5.0-Readme.txt. There you can find details on the internals of KEA, including various parameter settings (e.g., details on vocabularies and supported formats for these).
When controlled vocabularies are used (by default: no), the voc
argument should give the file path to the respective files without
their extensions. When vocformat
is "skos"
, the
extension must be ‘.rdf’; when "text"
, there must be files
with extensions ‘.en’, ‘.rel’ and ‘.use’.
Invisibly returns model
, i.e., the path to the created KEA
model.
Ingo Feinerer
Extract keywords from text documents.
extractKeywords(corpus, model, voc = "none", vocformat = "")
extractKeywords(corpus, model, voc = "none", vocformat = "")
corpus |
A list of character vectors containing the text
documents, e.g., a |
model |
A character giving the path to a KEA model. |
voc |
A character pointing to a controlled vocabulary. |
vocformat |
A character giving the format of |
A tutorial on keyword extraction is located at
http://www.nzdl.org/Kea/Download/Kea-5.0-Readme.txt. There you can
find details on the internals of KEA, including various parameter
settings (e.g., valid arguments for voc
and vocformat
).
A list of character vectors corresponding to the keywords in
corpus
.
Ingo Feinerer