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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Notes
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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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OpeNER has been funded by the European Commission under the FP7-ICT-2011-SME- DCL-296451.
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García-Pablos, A., Cuadros, M., Linaza, M.T. (2015). OpeNER: Open Tools to Perform Natural Language Processing on Accommodation Reviews. In: Tussyadiah, I., Inversini, A. (eds) Information and Communication Technologies in Tourism 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-14343-9_10
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