0000000000354631
AUTHOR
Antonio Carlos Cuenca
Sentiment Analysis of Twitter in Tourism Destinations
[EN] Given the importance of electronic word of mouth (eWOM), this paper analyses the content of messages generated by users related to a tourist destination and shared through Twitter. We propose three research questions regarding eWOM behaviour in Twitter focused on the expertise of the reviewer, sentiment analysis of a tweet and its content.In order to address those research questions we carry out text mining analysis by retrieving existing information on Twitter (over 1500 tweets) regarding to Venice as a tourist destination.
What drives the helpfulness of online reviews? A deep learning study of sentiment analysis, pictorial content and reviewer expertise for mature destinations
Los destinos turísticos se ven cada vez más afectados por la información relacionada con los viajes que se comparte a través de las redes sociales. Basándose en teorías de proceso dual sobre cómo los individuos procesan la información, este estudio examina el papel de las rutas de procesamiento de información central y periférica en la formación de las percepciones de los consumidores sobre la utilidad de las reseñas en línea de destinos maduros. Llevamos a cabo un proceso de dos pasos para abordar la utilidad percibida del contenido generado por el usuario, un análisis de sentimiento utilizando técnicas avanzadas de aprendizaje automático (aprendizaje profundo) y un análisis de regresión. …
Information Content Analysis of TV Advertising - The Spanish Case
Atter analyzing the information content of 477 ads aired by the two main Spanish TV channels we found that not all ads provided objective information, but that the proportion of informative ads and the amount of information carried by them seems to be greater than in other countries of our economic environment. There were no significant differences in informative content between the two channels, but there were differences with regard to product categories advertised. Future research could be directed towards expanding the categories for information analysis of TV ads given their continued presence in the life of the average consumer.
A Configurational Approach to Analyze Family Governance and Family Firm Outcome Preferences
This chapter follows the new research current that looks for heterogeneity between family businesses and its consequences. Through a cluster analysis, the chapter presents a taxonomy of four groups with different family government profiles, depending on the scope—number of issues considered—and the level of formalization. Alike, the research describes the different relative importance that each group attaches a to financial and non-financial performance measures, as well as to the dimensions of business and family success. The chapter analyzes a sample of 147 SME family businesses that belong to the tourism industry. All of them are closely held family businesses that range between the firs…