A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews

PK Jain, R Pamula, G Srivastava - Computer science review, 2021 - Elsevier
Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

A bibliometric review on the development in e-tourism research

S Singh, A Bashar - International Hospitality Review, 2021 - emerald.com
Purpose E-tourism is instilling in the tourism industry with the advancement in the
technological infrastructure all over the world and fetching tremendous tourists' attention …

Market segmentation and travel choice prediction in Spa hotels through TripAdvisor's online reviews

A Ahani, M Nilashi, O Ibrahim, L Sanzogni… - International Journal of …, 2019 - Elsevier
Customer segmentation via online reviews and ratings can assist different hotels, including
spa hotels, to better inform marketing strategy development and ensure optimal marketing …

What is the impact of service quality on customers' satisfaction during COVID-19 outbreak? New findings from online reviews analysis

M Nilashi, RA Abumalloh, A Alghamdi… - Telematics and …, 2021 - Elsevier
The COVID-19 pandemic has caused major global changes both in the areas of healthcare
and economics. This pandemic has led, mainly due to conditions related to confinement, to …

Revealing customers' satisfaction and preferences through online review analysis: The case of Canary Islands hotels

A Ahani, M Nilashi, E Yadegaridehkordi… - Journal of Retailing and …, 2019 - Elsevier
Travelers can enjoy a wide range of choices with the assistance of online review websites
such as TripAdvisor. Online reviews provided by customers are an important portion of …

[HTML][HTML] The role of emotions in the consumer meaning-making of interactions with social robots

M Borghi, MM Mariani - Technological Forecasting and Social Change, 2022 - Elsevier
The interaction with social robots is supposed to be a unique and emotionally charged
activity. Based on the diffusion of innovations literature, subjective feelings represent a driver …

Factors influencing medical tourism adoption in Malaysia: A DEMATEL-Fuzzy TOPSIS approach

M Nilashi, S Samad, AA Manaf, H Ahmadi… - Computers & Industrial …, 2019 - Elsevier
Tourism is one of the biggest competitive industries in the world. Nowadays, medical tourism
is quickly developing as a part of tourism for health and wellness care. There are many …

Revealing travellers' satisfaction during COVID-19 outbreak: Moderating role of service quality

M Nilashi, RA Abumalloh, B Minaei-Bidgoli… - Journal of Retailing and …, 2022 - Elsevier
Abstract User-Generated-Content (UGC) has gained increasing attention as an important
indicator of business success in the tourism and hospitality sectors. Previous literature has …

Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques

E Yadegaridehkordi, M Nilashi, MHNBM Nasir… - Technology in …, 2021 - Elsevier
This study aims to investigate the travellers' choice behaviour towards green hotels through
existing online travel reviews on TripAdvisor. Accordingly, a method combining …

Elements of information ecosystems stimulating the online consumer behavior: A mediating role of cognitive and affective trust

J Wang, F Shahzad, SF Ashraf - Telematics and Informatics, 2023 - Elsevier
Abstract Information makes consumers aware of what is on the market, their producers, and
their prices, which is important for making informed purchasing decisions. Information to …