TripAdvisor is a travel website company which provides reviews from traveler experiences about hotels, restaurants and monuments. This website has made up the largest travel community, reaching 630 million unique monthly visitors, and 350 million reviews and opinions covering more than 7.5 million accommodations, restaurants and attractions over 49 markets worldwide. The most interesting feature of this website is the large amount of opinions of million of everyday tourists that it contains.
We present Tripadvisor Monuments (TripM), three new sets of reviews from Tripadvisor referred to the most popular monuments in Spain and in Italy. These datasets have been used as a source of data for many sentiment analysis studies in the domain of cultural monuments. Each review ot the datasets of the Spanish momunents is given by the following attributes: User name, User location, User information, Review title, TripAdvisor bubble rating, Review date and Review and, each review of the datasets of the Italian monuments is given by the Review and the TripAdvisor bubble rating. More information about these datasets:
| Dataset | Reviews | Positive | Negative | Neutral | Download | Cite |
|---|---|---|---|---|---|---|
| Alhambra | 7,217 | 6,781 | 143 | 293 | ⤓ Download | Citation |
| Mezquita de Córdoba | 3,525 | 3,453 | 17 | 55 | ⤓ Download | Citation |
| Sagrada Familia | 43,540 | 41,163 | 554 | 1,818 | ⤓ Download | Citation |
| Grand Canal | 14,484 | 13,832 | 104 | 548 | ⤓ Download | Citation |
| Trevi Fountain | 25,391 | 19,515 | 2,513 | 3,363 | ⤓ Download | Citation |
| Pantheon | 24,829 | 23,635 | 107 | 1,087 | ⤓ Download | Citation |
@article{article,
author = {Valdivia, Ana and Hrabova, Emiliya and Chaturvedi, Iti and Luzon, Maria Victoria and Troiano, Luigi and Cambria, Erik and Herrera, Francisco},
year = {2019},
month = {03},
pages = {3-16},
title = {Inconsistencies on TripAdvisor Reviews: a Unified Index between Users and Sentiment Analysis Methods},
journal = {Neurocomputing},
doi = {10.1016/j.neucom.2018.09.096}
}
@article{article,
author = {Valdivia, Ana and Martínez-Cámara, Eugenio and Chaturvedi, Iti and Luzon, Maria Victoria and Cambria, Erik and Ong, Yew and Herrera, Francisco},
year = {2018},
month = {12},
pages = {39-52},
title = {What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules},
journal = {Journal of Ambient Intelligence and Humanized Computing},
doi = {10.1007/s12652-018-1150-3}
}
@article{article,
author = {Valdivia, Ana and Luzon, Maria Victoria and Cambria, Erik and Herrera, Francisco},
year = {2018},
month = {03},
pages = {126-135},
title = {Consensus Vote Models for Detecting and Filtering Neutrality in Sentiment Analysis},
volume = {44},
journal = {Information Fusion},
doi = {10.1016/j.inffus.2018.03.007}
}