Maria Teresa Linaza’s research while affiliated with Vicomtech and other places

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Publications (2)


Some possible text analysis pipelines
Opinion layer of the KAF document for the given example
User interface of Tour-pedia based on some of the proposed tools
Example of a KAF document to represent a simple analysed sentence
Resulting tokens for a fragment of the sentence, represented in KAF

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Automatic analysis of textual hotel reviews
  • Article
  • Publisher preview available

March 2016

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387 Reads

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65 Citations

Information Technology & Tourism

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Maria Teresa Linaza

Social Media and consumer-generated content continue to grow and impact the hospitality domain. Consumers write online reviews to indicate their level of satisfaction with a hotel and inform other consumers on the Internet of their hotel stay experience. A number of websites specialized in tourism and hospitality have flourished on the Web (e.g. Tripadvisor). The tremendous growth of these data-generating sources demands new tools to deal with them. To cope with big amounts of customer-generated reviews and comments, Natural Language Processing (NLP) tools have become necessary to automatically process and manage textual customer reviews (e.g. to perform Sentiment Analysis). This work describes OpeNER, a NLP platform applied to the hospitality domain to automatically process customer-generated textual content and obtain valuable information from it. The presented platform consists of a set of Open Source and free NLP tools to analyse text based on a modular architecture to ease its modification and extension. The training and evaluation has been performed using a set of manually annotated hotel reviews gathered from websites like Zoover and HolidayCheck.

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Reusing Multimedia Content for the Creation of Interactive Experiences in Cultural Institutions

January 2014

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16 Reads

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6 Citations

Lecture Notes in Computer Science

Information and Communication Technologies (ICT) have changed the society, including the recreational experiences. ICTs have created new spaces for the recreational participation, which often only recreate the same experiences on virtual spaces. These technological advances are one of the main drivers of the cultural and creative production. As people use ICTs in different activities of their daily life, such as home entertainment, they demand a higher sophistication level in cultural heritage applications. This paper describes the implementation of a software framework to generate cultural experiences, aiming at their integration in current flows of creative processes; semantic standardized access to different distributed knowledge sources; flexible integration of services; and content oriented visualization. It is worth highlighting that this platform will allow users without a technology background (content producers, education departments of cultural institutions) to generate new experiences based on reusing existing multimedia contents and designing the stories they want to tell.

Citations (2)


... Recent applications of NLP have been used in the tourism sector to improve marketing and commercial strategies, chatbots, sentiment analysis, and hotel recommendations, among others (Bulchand-Gidumal, 2022;García-Pablos et al., 2016;Prameswari et al., 2017;Putri et al., 2019). ...

Reference:

Tourism Management Through Natural Language Processing and Sentiment Analysis: A Case Study of the Main Natural Areas of Extremadura, Spain
Automatic analysis of textual hotel reviews

Information Technology & Tourism

... Hindmarch, Terras, and Robson (2019) have stated, for example, that 3D models can inherit "some of the original's aura" (p. 251) when they are adequately contextualised (also see Linaza, Juaristi, & Garcia, 2014;Statham, 2019). On the other hand, they maintain that when 3D models are presented isolated and stripped off of their original context, they lose their potential to prompt an affectual response. ...

Reusing Multimedia Content for the Creation of Interactive Experiences in Cultural Institutions
  • Citing Article
  • January 2014

Lecture Notes in Computer Science