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.
Key words :
Word trees
Entiment analysis
Hotel reviews
Opinion mining
Data analysis
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 -