# Conditional Random Fields for Labelling Sequential Data in Natural Language Processing

## Documentation for package ‘crfsuite’ version 0.3.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

airbnb | Dutch reviews of AirBnB customers on Brussels address locations available at www.insideairbnb.com
airbnb_chunks | Dutch reviews of AirBnB customers on Brussels address locations manually tagged with entities
as.crf | Convert a model built with CRFsuite to an object of class crf
crf | Linear-chain Conditional Random Field
crf_caretmethod | Functionality allowing to tune a crfsuite model using caret
crf_cbind_attributes | Enrich a data.frame by adding frequently used CRF attributes
crf_evaluation | Basic classification evaluation metrics for multi-class labelling
crf_options | Conditional Random Fields parameters
merge.chunkrange | CRF Training data construction: add chunk entity category to a tokenised dataset
ner_download_modeldata | CRF Training data: download training data for doing Named Entity Recognition (NER)
predict.crf | Predict the label sequence based on the Conditional Random Field
txt_feature | Extract basic text features which are useful for entity recognition
txt_sprintf | 'NA' friendly version of sprintf