Machine learning applied to tourism: A systematic review

JCS Núñez, JA Gómez‐Pulido… - … Reviews: Data Mining …, 2024 - Wiley Online Library
The application of machine learning techniques in the field of tourism is experiencing a
remarkable growth, as they allow to propose efficient solutions to problems present in this …

Understanding customer satisfaction via deep learning and natural language processing

Á Aldunate, S Maldonado, C Vairetti… - Expert Systems with …, 2022 - Elsevier
It is of utmost importance for marketing academics and service industry practitioners to
understand the factors that influence customer satisfaction. This study proposes a novel …

Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings

ES Alamoudi, NS Alghamdi - Journal of Decision Systems, 2021 - Taylor & Francis
Opinion mining has significantly supported knowledge and decision-making. This research
analysed the content of online reviews including the text of reviews and their rankings. The …

Systematic literature review of sentiment analysis in the Spanish language

S Osorio Angel, A Peña Pérez Negrón… - Data Technologies …, 2021 - emerald.com
Purpose Most studies on Sentiment Analysis are performed in English. However, as the third
most spoken language on the Internet, Sentiment Analysis for Spanish presents its …

Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making

C Vairetti, I Aránguiz, S Maldonado, JP Karmy… - European Journal of …, 2024 - Elsevier
Complaint analysis is an essential business analytics application because complaints have
a strong influence on customer satisfaction (CSAT). However, the process of categorising …

SEO inside Newsrooms: Reports from the Field

D Giomelakis, C Karypidou, A Veglis - Future internet, 2019 - mdpi.com
The journalism profession has changed dramatically in the digital age as the internet, and
new technologies, in general, have created new working conditions in the media …

New research methods & algorithms in social network analysis

D Camacho, MV Luzón, E Cambria - Future Generation Computer Systems, 2021 - Elsevier
The exponential growth of social media and online social networks (eg, Facebook, Twitter,
Instagram, and TikTok) has changed the daily lives of millions of people. The ease to …

[HTML][HTML] SemanticGraph2Vec: Semantic graph embedding for text representation

W Etaiwi, A Awajan - Array, 2023 - Elsevier
Graph embedding is an important representational technique that aims to maintain the
structure of a graph while learning low-dimensional representations of its vertices. Semantic …

Susceptible user search for defending opinion manipulation

W Tang, L Tian, X Zheng, G Luo, Z He - Future Generation Computer …, 2021 - Elsevier
The development of cyberspace offers unprecedentedly convenient access to online
communication, thus inducing malicious individuals to subtly manipulate user opinions for …

Exploiting tweet sentiments in altmetrics large-scale data

SU Hassan, NR Aljohani, UI Tarar… - Journal of …, 2023 - journals.sagepub.com
This article aims to exploit social exchanges on scientific literature, specifically tweets, to
analyse social media users' sentiments towards publications within a research field. First, we …