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 …

Social media and luxury: A systematic literature review

D Creevey, J Coughlan… - International Journal of …, 2022 - Wiley Online Library
Luxury, historically an exclusive, rare and elitist phenomenon, is changing. This is
predominantly driven by technological developments, particularly social media, and the …

Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts

C Han, M Yang, A Piterou - Technological Forecasting and Social Change, 2021 - Elsevier
This study analyses the agenda setting on social media in the COVID-19 pandemic by
exploiting one of the disruptive technologies, big data analytics. Our purpose is to examine …

Exploring antecedents impacting user satisfaction with voice assistant app: A text mining-based analysis on Alexa services

A Kumar, PK Bala, S Chakraborty, RK Behera - Journal of Retailing and …, 2024 - Elsevier
Abstract The Amazon Alexa app is one of the most widely used voice assistant apps to
manage customer information-seeking behavior and voice shopping. It provides …

Sentiment analysis of hotel online reviews using the BERT model and ERNIE model—Data from China

Y Wen, Y Liang, X Zhu - Plos one, 2023 - journals.plos.org
The emotion analysis of hotel online reviews is discussed by using the neural network
model BERT, which proves that this method can not only help hotel network platforms fully …

Weighted aspect based sentiment analysis using extended OWA operators and Word2Vec for tourism

S Ghosal, A Jain - Multimedia Tools and Applications, 2023 - Springer
The tourism industry stimulates business revenues and economic activities across the globe.
Effective analysis of enormous tourism reviews boosts both service quality and growth of …

Dynamic measurement and evaluation of hotel customer satisfaction through sentiment analysis on online reviews

Z Gang, L Chenglin - Journal of Organizational and End User …, 2021 - igi-global.com
Both researchers and practitioners have attached great importance to the measurement and
evaluation of hotel customer satisfaction. However, there are several problems in the …

Artificial Intelligence (AI) in the food and beverage industry: improves the customer experience

YS Cheong, CS Seah, YX Loh… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
This study examine how Artificial Intelligence (AI) tools can help restaurants improve service
quality and create a better customer experience. Robots, chatbots, facial recognition, voice …

Clustering using ordered weighted averaging operator and 2-tuple linguistic model for hotel segmentation: the case of tripadvisor

Z Shu, RAC González, JP García-Miguel… - Expert Systems with …, 2023 - Elsevier
With the growth of online tourism, it is important to analyze the reviews left by numerous
customers on social networks to improve the hotel's online reputation. Hotel segmentation …

Emoji, Text, and Sentiment Polarity Detection Using Natural Language Processing

S Gupta, A Singh, V Kumar - Information, 2023 - mdpi.com
Virtual users generate a gigantic volume of unbalanced sentiments over various online
crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate …