Automating tourism online reviews: a neural network based aspect-oriented sentiment classification
文献类型：期刊论文
| 作者 | Li, Nao6,7; Yang, Xiaoyu5; Wong, IpKin Anthony4; Law, Rob3; Xu, Jing Yang2; Zhang, Binru1 |
| 刊名 | JOURNAL OF HOSPITALITY AND TOURISM TECHNOLOGY
 |
| 出版日期 | 2022-11-24 |
| 页码 | 20 |
| 关键词 | Online reviews Big data Neural network Sentiment classification Aspects |
| ISSN号 | 1757-9880 |
| DOI | 10.1108/JHTT-03-2021-0099 |
| 通讯作者 | Wong, IpKin Anthony(wongipk@mail.sysu.edu.cn) |
| 英文摘要 | Purpose - This paper aims to classify the sentiment of online tourism-hospitality reviews at an aspect level. A new aspect-oriented sentiment classification method is proposed based on a neural network model. Design/methodology/approach - This study constructs an aspect-oriented sentiment classification model using an integrated four-layer neural network: the bidirectional encoder representation from transformers (BERT) word vector model, long short-term memory, interactive attention-over-attention (LAOA) mechanism and a linear output layer. The model was trained, tested and validated on an open training data set and 92,905 reviews extrapolated from restaurants in Tokyo. Findings - The model achieves significantly better performance compared with other neural networks. The findings provide empirical evidence to validate the suitability of this new approach in the tourism-hospitality domain. Research limitations/implications - More sentiments should be identified to measure more fine-grained tourism-hospitality experience, and new aspects are recommended that can be automatically added into the aspect set to provide dynamic support for new dining experiences. Originality/value - This study provides an update to the literature with respect to how a neural network could improve the performance of aspect-oriented sentiment classification for tourism-hospitality online reviews. |
| WOS关键词 | SERVICE ; QUALITY ; FOOD |
| 资助项目 | State Key Laboratory of Resources and Environmental Information System - Humanities and Social Science Fund of Ministry of Education of China[20YJC630202] ; National Social Science Foundation of China[21XJY002] |
| WOS研究方向 | Social Sciences - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000898688000001 |
| 出版者 | EMERALD GROUP PUBLISHING LTD |
| 资助机构 | State Key Laboratory of Resources and Environmental Information System - Humanities and Social Science Fund of Ministry of Education of China ; National Social Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188210]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wong, IpKin Anthony |
| 作者单位 | 1.Yangtze Normal Univ, Sch Finance & Econ, Chongqing, Peoples R China 2.Beijing Technol & Business Univ, Sch Comp Sci & Technol, Beijing, Peoples R China 3.Univ Macau, Asia Pacific Acad Econ & Management, Fac Business Adm, Dept Integrated Resort & Tourism Management, Macau, Peoples R China 4.Sun Yat Sen Univ, Sch Tourism Management, Zhuhai, Peoples R China 5.Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 7.Beijing Technol & Business Univ, Sch Int Econ & Management, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Nao,Yang, Xiaoyu,Wong, IpKin Anthony,et al. Automating tourism online reviews: a neural network based aspect-oriented sentiment classification[J]. JOURNAL OF HOSPITALITY AND TOURISM TECHNOLOGY,2022:20. |
| APA | Li, Nao,Yang, Xiaoyu,Wong, IpKin Anthony,Law, Rob,Xu, Jing Yang,&Zhang, Binru.(2022).Automating tourism online reviews: a neural network based aspect-oriented sentiment classification.JOURNAL OF HOSPITALITY AND TOURISM TECHNOLOGY,20. |
| MLA | Li, Nao,et al."Automating tourism online reviews: a neural network based aspect-oriented sentiment classification".JOURNAL OF HOSPITALITY AND TOURISM TECHNOLOGY (2022):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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