airbnb

The data contains 500 reviews in Dutch of people who visited an AirBnB appartment in Brussels. 
The data frame contains the fields<ul>
<li>doc_id: a unique identifier of the review</li>
<li>listing_id: the airbnb address identifier</li>
<li>text: text with the feedback of a customer on his visit in the AirBnB appartment</li>
</ul>

Wraps the 'CRFsuite' library <https://github.com/chokkan/crfsuite> 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.

Jan Wijffels

crfsuite

Conditional Random Fields for Labelling Sequential Data in
Natural Language Processing

BNOSAC 

Naoaki Okazaki

Bob Jenkins

Jorge Nocedal

Jesse Long

airbnb function

The data contains 500 reviews in Dutch of people who visited an AirBnB appartment in Brussels. 
The data frame contains the fields<ul>
<li>doc_id: a unique identifier of the review</li>
<li>listing_id: the airbnb address identifier</li>
<li>text: text with the feedback of a customer on his visit in the AirBnB appartment</li>
</ul>

Dutch reviews of AirBnB customers on Brussels address locations available at www.insideairbnb.com — airbnb

Dutch reviews of AirBnB customers on Brussels address locations available at www.insideairbnb.com

airbnb: Dutch reviews of AirBnB customers on Brussels address locations available at www.insideairbnb.com

Description

Arguments

See Also

Examples