OpeNER: Open Tools to Perform Natural Language Processing on Accommodation Reviews
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.
BIB_text
title = {OpeNER: Open Tools to Perform Natural Language Processing on Accommodation Reviews},
pages = {125-137},
keywds = {
Language processing, Sentiment analysis, User generated reviews
}
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.
}
isbn = { 978-3-319-14342-2},
date = {2015-02-06},
year = {2015},
}
