Results 121 to 130 of about 1,004 (184)

The Unreliability of Online Review Mechanisms. [PDF]

J Consum Policy (Dordr), 2022
Narciso M.
europepmc   +1 more source

A multilingual BERT-based classification of reviews for enhanced visitors' experience analysis. [PDF]

Sci Rep
Ricciardi R, Manisera M.
europepmc   +1 more source

Unveiling factors influencing judgment variation in sentiment analysis with natural language processing and statistics. [PDF]

PLoS One
Kellert O, Gómez-Rodríguez C, Uz Zaman M.   +2 more
europepmc   +1 more source

Fake reviews on online platforms: perspectives from the US, UK and EU legislations. [PDF]

SN Soc Sci, 2021
Martínez Otero JM.
europepmc   +1 more source

A tourism dataset from historical transaction for recommender systems. [PDF]

Data Brief
Huda C, Heryadi Y, Lukas, Budiharto W.
europepmc   +1 more source

Travel experiences documented in online reviews influence travelers' travel intentions. [PDF]

Sci Rep
Tao H, Yang D, Zhou H, Jian Y.
europepmc   +1 more source

Measuring the relationship between museum attributes and visitors: An application of topic model on museum online reviews. [PDF]

PLoS One
Huo H, Shen K, Han C, Yang M.
europepmc   +1 more source

Negative Feedback on Tripadvisor: A Hotel’s Nightmare [PDF]

J. of Tourism and Hospitality Management, 2016
openaire   +1 more source

Advancing sentiment classification through a population game model approach. [PDF]

Sci Rep
Punetha N, Jain G.
europepmc   +1 more source