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crfsuite  

Conditional Random Fields for Labelling Sequential Data in Natural Language Processing
View on CRAN: Click here


Download and install crfsuite package within the R console
Install from CRAN:
install.packages("crfsuite")

Install from Github:
library("remotes")
install_github("cran/crfsuite")

Install by package version:
library("remotes")
install_version("crfsuite", "0.4.2")



Attach the package and use:
library("crfsuite")
Maintained by
Jan Wijffels
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-02
Latest Update: 2022-11-01
Description:
Wraps the 'CRFsuite' library allowing users to fit a Conditional Random Field model and to apply it on existing data. The focus of the implementation is in the area of Natural Language Processing where this R package allows you to easily build and apply models for named entity recognition, text chunking, part of speech tagging, intent recognition or classification of any category you have in mind. Next to training, a small web application is included in the package to allow you to easily construct training data.
How to cite:
Jan Wijffels (2018). crfsuite: Conditional Random Fields for Labelling Sequential Data in Natural Language Processing. R package version 0.4.2, https://cran.r-project.org/web/packages/crfsuite. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.1 (2018-10-02 20:10), 0.1 (2018-09-28 20:10), 0.2 (2018-10-22 00:00), 0.3.1 (2020-04-27 21:00), 0.3.2 (2020-05-18 12:40), 0.3.3 (2020-09-01 18:50), 0.3.4 (2020-10-10 23:50), 0.3 (2019-05-31 15:00), 0.4.1 (2022-11-01 14:40), 0.4 (2021-11-12 22:50)
Other packages that cited crfsuite R package
View crfsuite citation profile
Other R packages that crfsuite depends, imports, suggests or enhances
Complete documentation for crfsuite
Functions, R codes and Examples using the crfsuite R package
Some associated functions: airbnb . airbnb_chunks . as.crf . crf . crf_caretmethod . crf_cbind_attributes . crf_evaluation . crf_options . merge.chunkrange . ner_download_modeldata . predict.crf . txt_feature . txt_sprintf . 
Some associated R codes: RcppExports.R . coef.R . data.R . evaluation.R . feature_engineering.R . modelling.R . pkg.R . training_data.R . utils.R .  Full crfsuite package functions and examples
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