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Erschienen in:
A Method for Analysing Large-Scale UGC Data for Tourism: Application to the Case of Catalonia Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

OpeNER: Open Tools to Perform Natural Language Processing on Accommodation Reviews

verfasst von : Aitor García-Pablos, Montse Cuadros, Maria Teresa Linaza

Erschienen in: Information and Communication Technologies in Tourism 2015

Verlag: Springer International Publishing

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Abstract

Opinion mining is crucial for hoteliers and other tourism industries in order to improve their service from the analysis of services failures and recovery. The extensive use of the Internet and social networks has shifted the way tourism information is shared and spread. Travel agencies, hotels, restaurants, tourist destinations and other actors require the aid of new technologies to get an insight of the vast amount of customer generated reviews. Develop and integrate text analysis technologies is usually difficult and expensive, because it involves the use of Natural Language Processing techniques. This paper introduces the OpeNER European project, a set of free Open Source and ready-to-use text analysis tools to perform text processing tasks like Named Entity Recognition and Opinion detection. The paper also provides an example of a possible application of the OpeNER results in the geolocation of hotel reviews.

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Vorheriges Kapitel An Auto-Coding Process for Testing the Cognitive-Affective and Conative Model of Destination Image
Nächstes Kapitel An Application of Apriori Algorithm Association Rules Mining to Profiling the Heritage Visitors of Macau
Fußnoten
2
KAF documents are XML files too verbose to be represented in this paper. More information about KAF format and examples can be found at the OpeNER website.
 
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Metadaten
Titel
OpeNER: Open Tools to Perform Natural Language Processing on Accommodation Reviews
verfasst von
Aitor García-Pablos
Montse Cuadros
Maria Teresa Linaza
Copyright-Jahr
2015
Buch
Information and Communication Technologies in Tourism 2015

Print ISBN: 978-3-319-14342-2

Electronic ISBN: 978-3-319-14343-9

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-14343-9_10