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 …

Demystifying fake news in the hospitality industry: A systematic literature review, framework, and an agenda for future research

PN Vasist, S Krishnan - International Journal of Hospitality Management, 2022 - Elsevier
Fake news is an all-pervasive phenomenon that has transcended social and political
boundaries and infiltrated the hospitality industry. While its growing prominence has piqued …

Fake review detection in e-Commerce platforms using aspect-based sentiment analysis

P Hajek, L Hikkerova, JM Sahut - Journal of Business Research, 2023 - Elsevier
Consumers rely on internet user reviews. Existing sentiment-based detection systems fail to
capture consumer feelings regarding numerous aspects of products or services which …

Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making

M Lee, W Kwon, KJ Back - International Journal of Contemporary …, 2021 - emerald.com
Purpose Big data analytics allows researchers and industry practitioners to extract hidden
patterns or discover new information and knowledge from big data. Although artificial …

Impacts of consumer cognitive process to ascertain online fake review: A cognitive dissonance theory approach

S Chatterjee, R Chaudhuri, A Kumar, CL Wang… - Journal of Business …, 2023 - Elsevier
Online reviews of the products by consumers are very important to organizations as well as
to prospective consumers. Ideally, online reviews by consumers should be an accurate and …

Why consumers exaggerate in online reviews? Moral disengagement and dark personality traits

PS Kapoor, MS Balaji, M Maity, NK Jain - Journal of Retailing and …, 2021 - Elsevier
Diffusion of digital media has led to extensive reliance on online reviews for purchase
decisions. However, consumers may routinely exaggerate about their own consumption …

Suspicion of online product reviews as fake: Cues and consequences

LJ Harrison-Walker, Y Jiang - Journal of Business Research, 2023 - Elsevier
Consumers rely on online reviews because they deem information from a third party to be
more credible than promotional communications. Unfortunately, not all online reviews are …

Information multidimensionality in online customer reviews

F Wang, Z Du, S Wang - Journal of Business Research, 2023 - Elsevier
Online customer reviews, as customer experience sharing, contain multiple dimensions of
information that have rarely been systematically examined in prior research. Drawing from …

Motives for posting fake reviews: Evidence from a cross-cultural comparison

M Zaman, T Vo-Thanh, CTK Nguyen, R Hasan… - Journal of Business …, 2023 - Elsevier
The main purpose of the present study is to address the existing research gaps by
examining the motives of customers for writing online fake reviews for cosmetic products …

Detecting fake reviews through topic modelling

ŞÖ Birim, I Kazancoglu, SK Mangla… - Journal of Business …, 2022 - Elsevier
Against the uncertainty caused by the information overload in the online world, consumers
can benefit greatly by reading online product reviews before making their online purchases …