{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:09:29Z","timestamp":1767319769362,"version":"3.48.0"},"publisher-location":"Singapore","reference-count":40,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819538294","type":"print"},{"value":"9789819538300","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-3830-0_2","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:05:13Z","timestamp":1767319513000},"page":"19-34","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["MSAQE: A Large-Scale Dataset for\u00a0Multi-view Scenic Areas Quality Evaluation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5981-5761","authenticated-orcid":false,"given":"Yajie","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4224-8528","authenticated-orcid":false,"given":"Meiling","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2813-0452","authenticated-orcid":false,"given":"Gaozhi","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5867-1315","authenticated-orcid":false,"given":"Xinpeng","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7358-4575","authenticated-orcid":false,"given":"Sun","family":"Yunlong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5224-6374","authenticated-orcid":false,"given":"Zhenxing","family":"Qian","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"2_CR1","unstructured":"Standard of rating for quality tourist attractions. GB\/T 17775-2003, May 2003. [Chinese National Standard (Recommended)]"},{"key":"2_CR2","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1016\/j.ins.2016.01.013","volume":"339","author":"MH Alam","year":"2016","unstructured":"Alam, M.H., Ryu, W.J., Lee, S.: Joint multi-grain topic sentiment: modeling semantic aspects for online reviews. Inf. Sci. 339, 206\u2013223 (2016)","journal-title":"Inf. Sci."},{"key":"2_CR3","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1162\/tacl_a_00366","volume":"9","author":"S Angelidis","year":"2021","unstructured":"Angelidis, S., Amplayo, R.K., Suhara, Y., Wang, X., Lapata, M.: Extractive opinion summarization in quantized transformer spaces. Trans. Assoc. Computat. Linguist. 9, 277\u2013293 (2021)","journal-title":"Trans. Assoc. Computat. Linguist."},{"issue":"5","key":"2_CR4","doi-asserted-by":"publisher","first-page":"102645","DOI":"10.1016\/j.ipm.2021.102645","volume":"58","author":"FJ Arenas-M\u00e1rquez","year":"2021","unstructured":"Arenas-M\u00e1rquez, F.J., Martinez-Torres, R., Toral, S.: Convolutional neural encoding of online reviews for the identification of travel group type topics on TripAdvisor. Inf. Process. Manage. 58(5), 102645 (2021)","journal-title":"Inf. Process. Manage."},{"key":"2_CR5","unstructured":"BigScience: BigScience language open-science open-access multilingual (bloom) language model (2022), international, May 2021\u2013May 2022"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Bjerva, J., Bhutani, N., Golahn, B., Tan, W.C., Augenstein, I.: SubjQA: a dataset for subjectivity and review comprehension. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, November 2020. Association for Computational Linguistics (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.442"},{"key":"2_CR7","unstructured":"Chaki, A.: TripAdvisor reviews 2023 (2023). https:\/\/www.kaggle.com\/datasets\/arnabchaki\/tripadvisor-reviews-2023"},{"key":"2_CR8","unstructured":"Chen, Y.: Convolutional neural network for sentence classification. Master\u2019s thesis, University of Waterloo (2015)"},{"key":"2_CR9","doi-asserted-by":"publisher","first-page":"113075","DOI":"10.1016\/j.dss.2019.113075","volume":"123","author":"AF Colladon","year":"2019","unstructured":"Colladon, A.F., Guardabascio, B., Innarella, R.: Using social network and semantic analysis to analyze online travel forums and forecast tourism demand. Decis. Support Syst. 123, 113075 (2019)","journal-title":"Decis. Support Syst."},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Cui, Y., Che, W., Liu, T., Qin, B., Wang, S., Hu, G.: Revisiting pre-trained models for Chinese natural language processing. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, Online, November 2020, pp. 657\u2013668. Association for Computational Linguistics (2020). https:\/\/www.aclweb.org\/anthology\/2020.findings-emnlp.58","DOI":"10.18653\/v1\/2020.findings-emnlp.58"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Cui, Y., Jia, M., Lin, T.Y., Song, Y., Belongie, S.: Class-balanced loss based on effective number of samples. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9268\u20139277 (2019)","DOI":"10.1109\/CVPR.2019.00949"},{"key":"2_CR12","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. CoRR abs\/1810.04805 (2019)"},{"key":"2_CR13","unstructured":"Grail, Q., Perez, J.: ReviewQA: a relational aspect-based opinion reading dataset. arXiv preprint arXiv:1810.12196 (2018)"},{"key":"2_CR14","unstructured":"HnestDs: Hotel reviews and listing (2020). [Dataset]. https:\/\/www.kaggle.com\/hamzafarooq50\/hotel-listings-and-reviews"},{"issue":"8","key":"2_CR15","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Hou, J.: Service quality evaluation algorithm of tourist scenic spots based on fuzzy cluster analysis. In: 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC), pp.\u00a01\u20136. IEEE (2022)","DOI":"10.1109\/ICMNWC56175.2022.10031898"},{"key":"2_CR17","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1016\/j.tourman.2019.03.009","volume":"74","author":"Z Hou","year":"2019","unstructured":"Hou, Z., Cui, F., Meng, Y., Lian, T., Yu, C.: Opinion mining from online travel reviews: a comparative analysis of Chinese major OTAs using semantic association analysis. Tour. Manage. 74, 276\u2013289 (2019)","journal-title":"Tour. Manage."},{"issue":"6","key":"2_CR18","first-page":"687","volume":"54","author":"SE Kim","year":"2017","unstructured":"Kim, S.E., Lee, K.Y., Shin, S.I., Yang, S.B.: Effects of tourism information quality in social media on destination image formation: the case of Sina Weibo. Inf. Manage. 54(6), 687\u2013702 (2017)","journal-title":"Inf. Manage."},{"key":"2_CR19","doi-asserted-by":"publisher","first-page":"104241","DOI":"10.1016\/j.tourman.2020.104241","volume":"83","author":"AP Kirilenko","year":"2021","unstructured":"Kirilenko, A.P., Stepchenkova, S.O., Dai, X.: Automated topic modeling of tourist reviews: does the Anna Karenina principle apply? Tour. Manage. 83, 104241 (2021)","journal-title":"Tour. Manage."},{"key":"2_CR20","unstructured":"Lan, Z., Chen, M., Goodman, S., Gimpel, K., Sharma, P., Soricut, R.: ALBERT: a lite BERT for self-supervised learning of language representations. In: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, 26\u201330 April 2020. OpenReview.net (2020). https:\/\/openreview.net\/forum?id=H1eA7AEtvS"},{"issue":"3","key":"2_CR21","first-page":"25","volume":"11","author":"HC Lee","year":"2019","unstructured":"Lee, H.C., Pan, H.L., Chung, C.C.: The study of destination image, service quality, satisfaction and behavioral intention-an example of Dapeng Bay National Scenic Area. Int. J. Organ. Innov. (Online) 11(3), 25 (2019)","journal-title":"Int. J. Organ. Innov. (Online)"},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"Li, F., Liao, X., Liu, J., Jiang, L., Wang, M., Liu, J.: Investigating the tourism image of mountain scenic spots in China through the lens of tourist perception. J. Mt. Sci. 20(8), 2298\u20132314 (2023)","DOI":"10.1007\/s11629-022-7791-x"},{"issue":"8","key":"2_CR23","doi-asserted-by":"publisher","first-page":"13190","DOI":"10.1109\/TITS.2021.3121551","volume":"23","author":"Z Li","year":"2021","unstructured":"Li, Z., et al.: Trip purposes mining from mobile signaling data. IEEE Trans. Intell. Transp. Syst. 23(8), 13190\u201313202 (2021)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"2_CR24","unstructured":"Liu, J.: 515k hotel reviews data in Europe (2017). https:\/\/www.kaggle.com\/datasets\/jiashenliu\/515k-hotel-reviews-data-in-europe\/data"},{"key":"2_CR25","unstructured":"Liu, Y., et al.: RoBERTa: a robustly optimized BERT pretraining approach. CoRR abs\/1907.11692 (2019). http:\/\/arxiv.org\/abs\/1907.11692"},{"key":"2_CR26","unstructured":"LowinLi: Lowin: Chinese-bigbird-base-4096 (2022)"},{"key":"2_CR27","unstructured":"Olery: Olery - worldwide hospitality data $$|$$ hospitality, travel & tourism data $$|$$ destination api $$|$$ sentiment analysis (2023). [Dataset]. https:\/\/datarade.ai\/data-products\/olery-destination-api-worldwide-hospitality-data-olery"},{"key":"2_CR28","doi-asserted-by":"crossref","unstructured":"Qi, C., Zhang, Y., Luo, Q.: Research on service quality improvement of agro-tourism integration scenic spots based on BP neural network. In: 2022 4th International Conference on Applied Machine Learning (ICAML), pp.\u00a01\u20135. IEEE (2022)","DOI":"10.1109\/ICAML57167.2022.00092"},{"key":"2_CR29","unstructured":"Quc, H.B.: 515k hotel reviews data in Europe (2022). [Dataset]. https:\/\/www.kaggle.com\/huypui\/data-515k-rating-hotel"},{"issue":"6088","key":"2_CR30","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. nature 323(6088), 533\u2013536 (1986)","journal-title":"nature"},{"key":"2_CR31","unstructured":"Scao, T.L., et\u00a0al.: BLOOM: a 176B-parameter open-access multilingual language model. arXiv preprint arXiv:2211.05100 (2022)"},{"key":"2_CR32","doi-asserted-by":"publisher","first-page":"102619","DOI":"10.1016\/j.scs.2020.102619","volume":"65","author":"S Shakibaei","year":"2021","unstructured":"Shakibaei, S., De Jong, G.C., Alpk\u00f6kin, P., Rashidi, T.H.: Impact of the Covid-19 pandemic on travel behavior in Istanbul: a panel data analysis. Sustain. Cities Soc. 65, 102619 (2021)","journal-title":"Sustain. Cities Soc."},{"key":"2_CR33","unstructured":"Su, J., Pan, S., Wen, B., Liu, Y.: Roformerv2: a faster and better roformer - zhuiyiai. Technical report (2022). https:\/\/github.com\/ZhuiyiTechnology\/roformer-v2"},{"key":"2_CR34","unstructured":"Sun, Y., et\u00a0al.: ERNIE 3.0: large-scale knowledge enhanced pre-training for language understanding and generation. arXiv preprint arXiv:2107.02137 (2021)"},{"key":"2_CR35","unstructured":"Velldal, E., \u00d8vrelid, L., Bergem, E.A., Stadsnes, C., Touileb, S., J\u00f8rgensen, F.: NoReC: The Norwegian Review Corpus. In: Proceedings of the 11th Edition of the Language Resources and Evaluation Conference, Miyazaki, Japan, pp. 4186\u20134191 (2018)"},{"key":"2_CR36","doi-asserted-by":"crossref","unstructured":"Wu, H., Dong, H.: Research on service quality improvement of Tianmu lake scenic spot based on SERVQUAL model. In: 2022 2nd International Conference on Management Science and Software Engineering, ICMSSE 2022, pp. 608\u2013612. Atlantis Press (2022)","DOI":"10.2991\/978-94-6463-056-5_89"},{"key":"2_CR37","unstructured":"Yang, Z., Dai, Z., Yang, Y., Carbonell, J.G., Salakhutdinov, R., Le, Q.V.: XLNet: generalized autoregressive pretraining for language understanding. In: Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, Vancouver, BC, Canada, 8\u201314 December 2019, pp. 5754\u20135764 (2019)"},{"key":"2_CR38","unstructured":"Zaheer, M., et al.: Big bird: transformers for longer sequences. Adv. Neural. Inf. Process. Syst. 33, 17283\u201317297 (2020)"},{"key":"2_CR39","doi-asserted-by":"publisher","first-page":"1415","DOI":"10.1109\/TMM.2021.3064408","volume":"24","author":"L Zhang","year":"2021","unstructured":"Zhang, L., Xu, J., Gong, Y., Yu, L., Zhang, J., Shen, J.: Unsupervised image and text fusion for travel information enhancement. IEEE Trans. Multimedia 24, 1415\u20131425 (2021)","journal-title":"IEEE Trans. Multimedia"},{"key":"2_CR40","first-page":"217","volume":"2023","author":"Z Zhao","year":"2023","unstructured":"Zhao, Z., Li, Y., Hou, C., Zhao, J., et al.: TencentPretrain: a scalable and flexible toolkit for pre-training models of different modalities. ACL 2023, 217 (2023)","journal-title":"ACL"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-3830-0_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:05:18Z","timestamp":1767319518000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3830-0_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819538294","9789819538300"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3830-0_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 May 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2025.github.io","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}