Tembl Ruiz, Ángel(Universitat Politècnica de València, 2023-05-15)
[ES] En el mercado actual los consumidores buscan e interactúan con las empresas utilizando Google. En España el 95% de las búsquedas se realizan utilizando Google. Además de búsquedas los consumidores escriben comentarios ...
[EN] This paper describes our proposal for Sentiment Analysis in Twitter for the Spanish language. The main characteristics of the system are the use of word embedding specifically trained from tweets in Spanish and the ...
Melnyk, Lidiia; Feld, Linda(Universitat Politècnica de València, 2022-11-23)
[EN] This paper explores different options of detecting the stance of German YouTube comments regarding the topic of gender diversity and compares the respective results with those of sentiment analysis, showing that these ...
This paper describes a SVM-approach for Sentiment Analysis
(SA) in Twitter for Spanish. This task was part of the TASS2013
workshop, which is a framework for SA that is focused on the Spanish
language. We describe the ...
Perez Cabañero, Carmen; Bigne, Enrique; Ruiz Mafe, Carla; Cuenca, Antonio Carlos(Editorial Universitat Politècnica de València, 2020-05-12)
[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 ...
[EN] This paper describes a support vector machine-based approach to different tasks related to sentiment analysis in Twitter for Spanish. We focus on parameter optimization of the models and the combination of several ...
[EN] In recent years, social media have become ubiquitous and important for social networking and content sharing. Moreover, the content generated by these websites remains largely untapped. Some researchers proved that ...
Naskar, Debashis(Universitat Politècnica de València, 2022-02-21)
[ES] El análisis de sentimientos en redes sociales se ha estudiado ampliamente durante la última década. A pesar de ello, las distintas categorías de sentimientos no se consideran adecuadamente en muchos casos, y el estudio ...
Martínez-Barco, Patricio; Ureña López, Luis Alfonso; Rosso, Paolo; Martí, Maria Antònia(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2011)
[ES] El objetivo general de este proyecto se centra en el estudio, desarrollo y
experimentación de diferentes técnicas y sistemas basados en Tecnologías del Lenguaje
Humano (TLH) para el desarrollo de la próxima ...
[EN] Sentiment analysis on Twitter offers possibilities of great interest to evaluate the currents of opinion disseminated through this medium. The huge volumes of texts require tools able to automatically process these ...
Miracula, Vincenzo; Celardi, Elvira(Editorial Universitat Politècnica de València, 2023-09-22)
[EN] The COVID-19 pandemic has not only changed the social reality we were used
to but also confirmed how data is one of the most valuable resources. We
examine the search volume of Google Trends to understand the ...
[EN] The aim of this work is to propose a strategy to classify texts (or parts of them) in an ordinal emotional scale to gauge a sentiment indicator in every domain. In particular, we develop a new dictionary for the Italian ...
[EN] The present work is a study of the detection of negative emotional states that people have using social network sites (SNSs), and the effect that this negative state has on the repercussions of posted messages. We aim ...
Sanchis Font, Rosario(Universitat Politècnica de València, 2023-06-12)
[ES] El uso de nuevas tecnologías y el número de usuarios de sistemas de enseñanza online universitaria se han extendido alrededor del mundo en las últimas décadas, mostrando un mayor incremento con la propagación de la ...
[EN] In present-day in consumers' homes, there are millions of Internet-connected devices that are known to jointly represent the Internet of Things (IoT). The development of the IoT industry has led to the emergence of ...
[EN] Nowadays there is a strong integration of online social platforms and applications with our daily life. Such interactions can make risks arise and compromise the information we share, thereby leading to privacy issues. ...