Article
المجلة العلمية :
Current Issues in Tourism
ISSN : 1368-3500
الناشر :
Taylor & Francis
معلومات
السنة : 2022
المجلد : 25 العدد : 9
الصفحات : 1368-1375
التفاصيل
Topic-based sentiment analysis of hotel reviews
Mohamed Gharzouli Aimen Khalil Hamama Zakaria Khattabi
We developed a system for sentiment analysis of hotel reviews. The system uses topics to give accurate reports related to some qualities specified by the end-user. This system permits users to evaluate a given hotel services quality according to multiple criteria. Besides, a user can make different detailed comparisons between hotels. To achieve this goal, the proposed system decomposes complex opinions into sub-comments to extract the specified concept. Further, it translates non-English comments into the English language. After having tested the system by using two datasets, the obtained results are judged to be satisfactory.
الكلمات المفتاحية :
Word trees Entiment analysis Hotel reviews Opinion mining Data analysis
مرجع الإقتباس :
misc-lab-389
DOI :
10.1080/13683500.2021.1940107
الرابط :
Texte intégral
ACM :
M. Gharzouli, A. K. Hamama and Z. Khattabi. 2022. Topic-based sentiment analysis of hotel reviews. Current Issues in Tourism, 25, 9, Taylor & Francis, 1368-1375. DOI: https://doi.org/10.1080/13683500.2021.1940107.
APA :
Gharzouli, M., Hamama, A. K. & Khattabi, Z. (2022). Topic-based sentiment analysis of hotel reviews. Current Issues in Tourism, 25(9), Taylor & Francis, 1368-1375. DOI: https://doi.org/10.1080/13683500.2021.1940107
IEEE :
M. Gharzouli, A. K. Hamama and Z. Khattabi, "Topic-based sentiment analysis of hotel reviews". Current Issues in Tourism, vol. 25, no. 9, Taylor & Francis, pp. 1368-1375, 2022. DOI: https://doi.org/10.1080/13683500.2021.1940107.
BibTeX :
@article{misc-lab-389,
author = {Gharzouli, Mohamed and Hamama, Aimen Khalil and Khattabi, Zakaria},
title = {Topic-based sentiment analysis of hotel reviews},
journal = {Current Issues in Tourism},
volume = {25},
number = {9},
issn = {1368-3500},
pages = {1368--1375},
publisher = {Taylor & Francis},
year = {2022},
doi = {10.1080/13683500.2021.1940107},
url = {https://www.tandfonline.com/doi/abs/10.1080/13683500.2021.1940107?journalCode=rcit20},
keywords = {Word trees, entiment analysis, hotel reviews, opinion mining, data analysis}
}
RIS :
TI  - Topic-based sentiment analysis of hotel reviews
AU - M. Gharzouli
AU - A. K. Hamama
AU - Z. Khattabi
PY - 2022
SN - 1368-3500
JO - Current Issues in Tourism
VL - 25
IS - 9
SP - 1368
EP - 1375
PB - Taylor & Francis
AB - We developed a system for sentiment analysis of hotel reviews. The system uses topics to give accurate reports related to some qualities specified by the end-user. This system permits users to evaluate a given hotel services quality according to multiple criteria. Besides, a user can make different detailed comparisons between hotels. To achieve this goal, the proposed system decomposes complex opinions into sub-comments to extract the specified concept. Further, it translates non-English comments into the English language. After having tested the system by using two datasets, the obtained results are judged to be satisfactory.
KW - Word trees
KW - entiment analysis
KW - hotel reviews
KW - opinion mining
KW - data analysis
DO - 10.1080/13683500.2021.1940107
UR - https://www.tandfonline.com/doi/abs/10.1080/13683500.2021.1940107?journalCode=rcit20
ID - misc-lab-389
ER -