brussels_reviews

Reviews of AirBnB customers on Brussels address locations available at www.insideairbnb.com
More information: http://insideairbnb.com/get-the-data.html.
The data contains 500 reviews in Spanish, 500 reviews in French and 500 reviews in Dutch. 
The data frame contains the field id (unique), listing_id which corresponds to the listing_id of
the <code>brussels_listings</code> dataset and text fields feedback and language (identified with package cld2) 
Data has been converted from UTF-8 to ASCII as in <code>iconv(x, from = "UTF-8", to = "ASCII//TRANSLIT")</code> in order
to be able to comply to CRAN policies.

This natural language processing toolkit provides language-agnostic
'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency
parsing' of raw text. Next to text parsing, the package also allows you to train
annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided
at <https://universaldependencies.org/format.html>. The techniques are explained
in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0
with UDPipe', available at <doi:10.18653/v1/K17-3009>.
The toolkit also contains functionalities for commonly used data manipulations on texts
which are enriched with the output of the parser. Namely functionalities and algorithms
for collocations, token co-occurrence, document term matrix handling,
term frequency inverse document frequency calculations,
information retrieval metrics (Okapi BM25), handling of multi-word expressions,
keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntactical patterns)
sentiment scoring and semantic similarity analysis.

Jan Wijffels

udpipe

Tokenization, Parts of Speech Tagging, Lemmatization and
Dependency Parsing with the 'UDPipe' 'NLP' Toolkit

BNOSAC 

Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic 

Milan Straka 

Jana Straková 

brussels_reviews function

Reviews of AirBnB customers on Brussels address locations available at www.insideairbnb.com
More information: http://insideairbnb.com/get-the-data.html.
The data contains 500 reviews in Spanish, 500 reviews in French and 500 reviews in Dutch. 
The data frame contains the field id (unique), listing_id which corresponds to the listing_id of
the <code>brussels_listings</code> dataset and text fields feedback and language (identified with package cld2) 
Data has been converted from UTF-8 to ASCII as in <code>iconv(x, from = "UTF-8", to = "ASCII//TRANSLIT")</code> in order
to be able to comply to CRAN policies.

brussels_reviews: Reviews of AirBnB customers on Brussels address locations available at www.insideairbnb.com

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