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Current textual semantic analysis methods face significant limitations in accurately delineating semantic boundaries, identifying semantic clustering patterns, and representing knowledge evolution. To address these issues, this study proposes a framework that innovatively introduces GIS methods into textual semantic analysis and aligns them with the conceptual foundation of geographical metaphor theory. Specifically, word embedding models are employed to endow semantic primitives with comprehensive, high-dimensional semantic representations. GIS methods and geographical metaphors are subsequently utilized to project both semantic primitives and their relationships into a low-dimensional geospatial analog, thereby constructing a semantic space model that facilitates accurate delineation of semantic boundaries. On the basis of this model, spatial correlation measurements are adopted to reveal underlying semantic patterns, while knowledge evolution is represented using ArcGIS 10.7-based visualization techniques. Experiments on social media data validate the effectiveness of the framework in semantic boundary delineation and clustering pattern identification. Moreover, the framework supports dynamic three-dimensional visualization of topic evolution. Importantly, by employing specialized visualization methods, the proposed framework enables the intuitive representation of semantic symmetry and asymmetry within semantic spaces.<\/jats:p>","DOI":"10.3390\/sym17071064","type":"journal-article","created":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T11:20:11Z","timestamp":1751628011000},"page":"1064","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Textual Semantic Analysis Framework Integrating Geographic Metaphors and GIS-Based Spatial Analysis Methods"],"prefix":"10.3390","volume":"17","author":[{"given":"Yu","family":"Liu","sequence":"first","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China"},{"name":"Institute of Environment and Development, Guangdong Academy of Social Sciences, Guangzhou 510635, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaifeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Environment and Development, Guangdong Academy of Social Sciences, Guangzhou 510635, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9333-9788","authenticated-orcid":false,"given":"Qin","family":"Tian","sequence":"additional","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6340-7452","authenticated-orcid":false,"given":"Xi","family":"Kuai","sequence":"additional","affiliation":[{"name":"Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518063, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Longley, P.A., and Cheshire, J.A. (2017). Geographical information systems. The Routledge Handbook of Mapping and Cartography, Routledge.","DOI":"10.4324\/9781315736822-21"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"116817","DOI":"10.1016\/j.apenergy.2021.116817","article-title":"Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales","volume":"291","author":"Gassar","year":"2021","journal-title":"Appl. Energy"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Lock, G.R., and Stancic, Z. (2022). Archaeology and Geographic Information Systems: A European Perspective, CRC Press.","DOI":"10.1201\/9780367810467"},{"key":"ref_4","first-page":"1624","article-title":"Remote sensing and geographic information system applications for precision farming and natural resource management","volume":"49","author":"Trivedi","year":"2022","journal-title":"Indian J. Ecol."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Ding, L., Ma, L., Li, L., Liu, C., Li, N., Yang, Z., Yao, Y., and Lu, H. (2021). A survey of remote sensing and geographic information system applications for flash floods. Remote Sens., 13.","DOI":"10.3390\/rs13091818"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1177\/0734242X241237100","article-title":"A comprehensive review on the integration of geographic information systems and artificial intelligence for landfill site selection: A systematic mapping perspective","volume":"43","author":"Kuhaneswaran","year":"2025","journal-title":"Waste Manag. Res."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Ahmad, M. (2023). AI-Enabled Spatial Intelligence: Revolutionizing Data Management and Decision Making in Geographic Information Systems. AI and Its Convergence with Communication Technologies, IGI Global.","DOI":"10.4018\/978-1-6684-7702-1.ch005"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"103","DOI":"10.31857\/0373-658X.2023.6.103-119","article-title":"Semantic field SEEK: Shughni data in the light of lexical typology","volume":"6","author":"Rakhilina","year":"2023","journal-title":"Vopr. Yazykoznaniya"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"276","DOI":"10.3103\/S1060992X24700176","article-title":"uSF: Learning Neural Semantic Field with Uncertainty","volume":"33","author":"Skorokhodov","year":"2024","journal-title":"Opt. Mem. Neural Netw."},{"key":"ref_10","unstructured":"Breton, L.L., Fournier, Q., Mezouar, M.E., and Chandar, S. (2025). NeoBERT: A Next-Generation BERT. arXiv."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"100059","DOI":"10.1016\/j.nlp.2024.100059","article-title":"Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review","volume":"6","author":"Jim","year":"2024","journal-title":"Nat. Lang. Process. J."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Zhao, W., Liu, X., Xu, R., Xiao, L., and Li, M. (2024). E-commerce webpage recommendation scheme base on semantic mining and neural networks. arXiv.","DOI":"10.53469\/jtpes.2024.04(03).20"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Shen, C., Liu, H., Wang, J., Yang, Z., and Hai, C. (2025). Kullback\u2013Leibler Divergence-Based Distributionally Robust Chance-Constrained Programming for PV Hosting Capacity Assessment in Distribution Networks. Sustainability, 17.","DOI":"10.3390\/su17052022"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.ipm.2018.10.010","article-title":"A tale of two epidemics: Contextual Word2Vec for classifying twitter streams during outbreaks","volume":"56","author":"Khatua","year":"2019","journal-title":"Inf. Process. Manage."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"118695","DOI":"10.1016\/j.eswa.2022.118695","article-title":"An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to local","volume":"212","author":"Ma","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s11192-017-2591-8","article-title":"Visualizing the context of citations referencing papers published by Eugene Garfield: A new type of keyword co-occurrence analysis","volume":"114","author":"Bornmann","year":"2018","journal-title":"Scientometrics"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"5881","DOI":"10.1007\/s11192-021-03984-1","article-title":"Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation","volume":"126","author":"Kozlowski","year":"2020","journal-title":"Scientometrics"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Ereira, S., Pujol, M., Guitart-Masip, M., Dolan, R.J., and Kurth-Nelson, Z. (2021). Overcoming Pavlovian bias in semantic space. Sci. Rep., 11.","DOI":"10.1038\/s41598-021-82889-8"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"4329","DOI":"10.1093\/cercor\/bhab089","article-title":"Frequency-Dependent Cortical Interactions during Semantic Processing: An Electrocorticogram Cross-spectrum Analysis Using a Semantic Space Model","volume":"31","author":"Naoyuki","year":"2021","journal-title":"Cereb. Cortex"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1185","DOI":"10.1016\/j.ipm.2019.02.014","article-title":"Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis","volume":"56","author":"Hu","year":"2019","journal-title":"Inf. Process. Manage."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"100182","DOI":"10.1016\/j.neuri.2024.100182","article-title":"KL-FedDis: A federated learning approach with distribution information sharing using Kullback-Leibler divergence for non-IID data","volume":"5","author":"Rahad","year":"2025","journal-title":"Neurosci. Inform."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Linden, I., Dumas, B., and Wallemacq, A. (2022, January 11\u201313). A Formal Model to Support Discourse Semantic Landscape Analysis. Proceedings of the 11th International Conference on Data Science, Technology and Applications (DATA 2022), Lisbon, Portugal.","DOI":"10.5220\/0011298300003269"},{"key":"ref_23","unstructured":"Gokhale, S. (2023). The semantic landscape paradigm for neural networks. arXiv."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Natekar, P., Wang, Z., Arora, M., Hakozaki, H., and Sch\u00f6neberg, J. (2023). Self-supervised deep learning uncovers the semantic landscape of drug-induced latent mitochondrial phenotypes. bioRxiv, bioRxiv:2013.557636.","DOI":"10.1101\/2023.09.13.557636"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1111\/tran.12127","article-title":"Geographic space: An ancient story retold","volume":"41","author":"Smirnov","year":"2016","journal-title":"Trans. Inst. Br. Geogr."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1080\/13658816.2018.1427754","article-title":"Geographic space as a living structure for predicting human activities using big data","volume":"33","author":"Jiang","year":"2018","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"101750","DOI":"10.1016\/j.compenvurbsys.2021.101750","article-title":"Representing geographic space as a hierarchy of recursively defined subspaces for computing the degree of order","volume":"92","author":"Jiang","year":"2022","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Mu\u00f1oz, C.E. (2025). The Study of Relevant Social Issues in the Teaching of Geographic Space in Primary Education. Geography Education and Explorations on Human Development and Culture, IGI Global Scientific Publishing.","DOI":"10.4018\/979-8-3693-7185-5.ch007"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1697","DOI":"10.1080\/13658816.2017.1309043","article-title":"Ontologies and representation spaces for sketch map interpretation","volume":"31","author":"Wang","year":"2017","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Paolo, M.A., Alkiviadis, K., Mart\u00ednez, E.V., Emilio, H.-G., and Matjaz, P. (2011). Wikipedia Information Flow Analysis Reveals the Scale-Free Architecture of the Semantic Space. PLoS ONE, 6.","DOI":"10.1371\/journal.pone.0017333"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/S0022-5371(69)80069-1","article-title":"Retrieval time from semantic memory","volume":"8","author":"Collins","year":"1969","journal-title":"J. Verbal Learn. Verbal Behav."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1037\/0033-295X.82.6.407","article-title":"A spreading-activation theory of semantic processing","volume":"82","author":"Collins","year":"1975","journal-title":"Psychol. Rev."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9","article-title":"Indexing by latent semantic analysis","volume":"41","author":"Deerwester","year":"1990","journal-title":"J. Am. Soc. Inf. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"188","DOI":"10.3758\/BF03200643","article-title":"From simple associations to the building blocks of language: Modeling meaning in memory with the HAL model","volume":"32","author":"Burgess","year":"1998","journal-title":"Behav. Res. Methods Instrum. Comput."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Shaheen, S., El-Hajj, W., Hajj, H., and Elbassuoni, S. (2014, January 14\u201317). Emotion Recognition from Text Based on Automatically Generated Rules. Proceedings of the 14th IEEE International Conference on Data Mining (IEEE ICDM), Shenzhen, China.","DOI":"10.1109\/ICDMW.2014.80"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Kuai, X., Li, L., Luo, H., Hang, S., Zhang, Z., and Liu, Y. (2016). Geospatial Information Categories Mapping in a Cross-lingual Environment: A Case Study of \u201cSurface Water\u201d Categories in Chinese and American Topographic Maps. Int. J. Geo-Inf., 5.","DOI":"10.3390\/ijgi5060090"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1007\/s11192-017-2574-9","article-title":"A domain keyword analysis approach extending Term Frequency-Keyword Active Index with Google Word2Vec model","volume":"114","author":"Hu","year":"2018","journal-title":"Scientometrics"},{"key":"ref_38","first-page":"155","article-title":"Updating the descriptive biopsychosocial approach to fit into a formal person-centred dynamic coherence model. The \u2018social\u2019part","volume":"7","author":"Henningsen","year":"2019","journal-title":"Eur. J. Pers. Centered Healthc."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Chowdhary, K.R. (2020). Natural Language Processing. Fundamentals of Artificial Intelligence, Springer Nature India Private Limited.","DOI":"10.1007\/978-81-322-3972-7_19"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3713","DOI":"10.1007\/s11042-022-13428-4","article-title":"Natural language processing: State of the art, current trends and challenges","volume":"82","author":"Khurana","year":"2023","journal-title":"Multimed. Tools Appl."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1126\/science.aaa8685","article-title":"Advances in natural language processing","volume":"349","author":"Hirschberg","year":"2015","journal-title":"Science"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Sun, J.L., Liu, Y.R., Cui, J., and He, H.D. (2022). Deep learning-based methods for natural hazard named entity recognition. Sci. Rep., 12.","DOI":"10.1038\/s41598-022-08667-2"},{"key":"ref_43","unstructured":"Koroteev, M.V. (2021). BERT: A review of applications in natural language processing and understanding. arXiv."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1007\/s12525-021-00475-2","article-title":"Machine learning and deep learning","volume":"31","author":"Janiesch","year":"2021","journal-title":"Electron. Mark."},{"key":"ref_45","first-page":"3897","article-title":"Machine learning and deep learning: A review of methods and applications","volume":"10","author":"Sharifani","year":"2023","journal-title":"World Inf. Technol. Eng. J."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Liu, Y., Xu, C., Kuai, X., Deng, H., Wang, K., and Luo, Q. (2022). Analysis of the causes of inferiority feelings based on social media data with Word2Vec. Sci. Rep., 12.","DOI":"10.1038\/s41598-022-09075-2"},{"key":"ref_47","first-page":"1","article-title":"A systematic review of geographic information systems (GIS) in agriculture for evidence-based decision making and sustainability","volume":"3","author":"Raihan","year":"2024","journal-title":"Glob. Sustain. Res."},{"key":"ref_48","unstructured":"Li, J., and Chen, C. (2017). CiteSpace: Text Mining and Visualization in Scientific Literature, Capital University of Economics and Business Press. [2nd ed.]."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1024\/1422-4917\/a000640","article-title":"Quality criteria of internet-based cognitive-behavioral interventions for children and adolescents and their parents\u2014A systematic review","volume":"48","author":"Tutus","year":"2020","journal-title":"Z. Kinder- Jugendpsychiatrie Psychother."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"126398","DOI":"10.1016\/j.eswa.2025.126398","article-title":"t-SNE-PSO: Optimizing t-SNE using particle swarm optimization","volume":"269","author":"Allaoui","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"3355","DOI":"10.1007\/s12145-023-01090-9","article-title":"Multidimensional spatial autocorrelation analysis and it\u2019s application based on improved Moran\u2019s I","volume":"16","author":"Zhang","year":"2023","journal-title":"Earth Sci. Inform."},{"key":"ref_52","first-page":"1017","article-title":"Knowledge evolution strategies","volume":"29","author":"Liu","year":"2007","journal-title":"Syst. Eng. Electron."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"72994","DOI":"10.1109\/ACCESS.2019.2916630","article-title":"Discovering and Visualizing Knowledge Evolution of Chronic Disease Research Driven by Emerging Technologies","volume":"7","author":"Gu","year":"2019","journal-title":"IEEE Access"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"72538","DOI":"10.1109\/ACCESS.2019.2919549","article-title":"Visualizing Knowledge Evolution and Hotspots of Rural Environment and Health: A Systematic Review and Research Direction","volume":"7","author":"Zhang","year":"2019","journal-title":"IEEE Access"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1007\/s10115-020-01532-6","article-title":"Auto-labelling entities in low-resource text: A geological case study","volume":"63","author":"Enkhsaikhan","year":"2021","journal-title":"Knowl. Inf. Syst."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1186\/1476-072X-9-33","article-title":"A modified version of Moran\u2019s I","volume":"9","author":"Jackson","year":"2010","journal-title":"Int. J. Health Geogr."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.csda.2015.09.010","article-title":"On Moran\u2019s I coefficient under heterogeneity","volume":"95","author":"Zhang","year":"2016","journal-title":"Comput. Stat. Data Anal."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Yamada, H. (2024). Moran\u2019s I for Multivariate Spatial Data. Mathematics, 12.","DOI":"10.3390\/math12121820"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1080\/00330124.2021.1878908","article-title":"Interpreting Moran Eigenvector Maps with the Getis-Ord Gi* Statistic","volume":"73","author":"Griffith","year":"2021","journal-title":"Prof. Geogr."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"436","DOI":"10.6036\/10398","article-title":"Using Getis-Ord Gi* maps to understand bicycle mobility during the winter season in Valencia, Spain","volume":"97","year":"2022","journal-title":"Dyna"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Yamada, H. (2021). Geary\u2019s c and Spectral Graph Theory. Mathematics, 9.","DOI":"10.3390\/math9192465"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Yamada, H. (2023). Geary\u2019s c and Spectral Graph Theory: A Complement. Mathematics, 11.","DOI":"10.3390\/math11204228"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Yamada, H. (2024). Geary\u2019s c for Multivariate Spatial Data. Mathematics, 12.","DOI":"10.3390\/math12121820"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1207\/s15516709cog0402_4","article-title":"The metaphorical structure of the human conceptual system","volume":"4","author":"Lakoff","year":"1980","journal-title":"Cogn. Sci."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cageo.2016.10.006","article-title":"A bibliometric and visual analysis of global geo-ontology research","volume":"99","author":"Li","year":"2017","journal-title":"Comput. Geosci."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.1007\/s11192-017-2604-7","article-title":"Identifying the \u201cGhost City\u201d of domain topics in a keyword semantic space combining citations","volume":"114","author":"Hu","year":"2018","journal-title":"Scientometrics"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Li, F. (2015, January 23\u201325). SocialNetwork Analysis of Information Diffusion on SinaWeibo Micro-blog System. Proceedings of the 2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, China.","DOI":"10.1109\/ICSESS.2015.7339044"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Tian, X., He, F., Batterham, P., Wang, Z., and Yu, G. (2017). An Analysis of Anxiety-Related Postings on Sina Weibo. Int. J. Environ. Res. Public Health, 14.","DOI":"10.3390\/ijerph14070775"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.cities.2016.08.014","article-title":"Delineation of an urban agglomeration boundary based on Sina Weibo microblog \u2018check-in\u2019 data: A case study of the Yangtze River Delta","volume":"60","author":"Zhen","year":"2017","journal-title":"Cities"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.scitotenv.2019.134896","article-title":"Deciphering the recreational use of urban parks: Experiments using multi-source big data for all Chinese cities","volume":"701","author":"Li","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Zhang, X.C., Sun, Y.R., Zheng, A.Y., and Wang, Y. (2020). A New Approach to Refining Land Use Types: Predicting Point-of-Interest Categories Using Weibo Check-in Data. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9020124"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1108\/IJCCSM-12-2022-0155","article-title":"Perception of sponge city for achieving circularity goal and hedge against climate change: A study on Weibo","volume":"16","author":"Zeng","year":"2024","journal-title":"Int. J. Clim. Change Strateg. Manag."},{"key":"ref_73","unstructured":"Han, P. (2006). Inferiority Feelings of College Student: A Research Based on Social Comparison Master. [Master\u2019s Thesis, Guangxi Normal University]."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"109791","DOI":"10.1016\/j.paid.2019.109791","article-title":"Longitudinal relationship between inferiority and aggression in Chinese college students: The moderation of left-behind experience","volume":"156","author":"Zhang","year":"2020","journal-title":"Pers. Individ. Differ."},{"key":"ref_75","first-page":"1739","article-title":"Inferiority complex of higher vocational students based on improved random sampling","volume":"21","author":"Sun","year":"2021","journal-title":"J. Comput. Methods Sci. Eng."},{"key":"ref_76","first-page":"S446","article-title":"Inferiority complex seen as a like or dislike and adaptation to physical education classes in junior high school students","volume":"19","author":"Toyama","year":"2021","journal-title":"Int. J. Sport Exerc. Psychol."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.ssci.2016.10.011","article-title":"The semantic field of risk","volume":"92","author":"Boholm","year":"2017","journal-title":"Saf. Sci."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"166","DOI":"10.34069\/AI\/2022.53.05.16","article-title":"Functional and semantic field of aspectuality in different-systemic languages","volume":"11","author":"Babali","year":"2022","journal-title":"Amazon Investig."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1007\/s11042-018-6172-5","article-title":"Visualizing the Hotspots and Emerging Trends of Multimedia Big Data through Scientometrics","volume":"78","author":"Jin","year":"2019","journal-title":"Multimed. Tools Appl."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Song, C., Guo, C.Y., Hunt, K., and Zhuang, J. (2020). An Analysis of Public Opinions Regarding Take-Away Food Safety: A 2015\u20132018 Case Study on Sina Weibo. Foods, 9.","DOI":"10.3390\/foods9040511"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"134846","DOI":"10.1016\/j.scitotenv.2019.134846","article-title":"The association of short-term effects of air pollution and sleep disorders among elderly residents in China","volume":"708","author":"Tang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1080\/00049158.2019.1678714","article-title":"Creating forest management units with Hot Spot Analysis (Getis-Ord Gi*) over a forest affected by mixed-severity fires","volume":"82","author":"Rossi","year":"2019","journal-title":"Aust. For."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1007\/s11192-018-2836-1","article-title":"Identifying and tracking scientific and technological knowledge memes from citation networks of publications and patents","volume":"116","author":"Sun","year":"2018","journal-title":"Scientometrics"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1177\/0309132517712154","article-title":"Geographic information science II: Mesogeography: Social physics, GIScience and the quest for geographic knowledge","volume":"42","author":"Miller","year":"2018","journal-title":"Prog. Hum. Geogr."},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Kocaman, S., and Ozdemir, N. (2020). Improvement of Disability Rights via Geographic Information Science. Sustainability, 12.","DOI":"10.3390\/su12145807"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"E58","DOI":"10.5888\/pcd17.200246","article-title":"Incorporating Geographic Information Science and Technology in Response to the COVID-19 Pandemic","volume":"17","author":"Smith","year":"2020","journal-title":"Prev. Chronic Dis."},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Kuhn, W. (1993). Metaphors Create Theories for Users, Springer.","DOI":"10.1007\/3-540-57207-4_24"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1177\/1039856215626648","article-title":"The relationship between environment and mental health: How does geographic information systems (GIS) help?","volume":"24","author":"Walsan","year":"2016","journal-title":"Australas. Psychiatry"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"105205","DOI":"10.1016\/j.envint.2019.105205","article-title":"Is long-term exposure to air pollution associated with poor sleep quality in rural China?","volume":"133","author":"Chen","year":"2019","journal-title":"Environ. Int."},{"key":"ref_90","first-page":"3","article-title":"Semantic revolution, or knowledge evolution?","volume":"32","author":"Ramsay","year":"2019","journal-title":"Psychologist"},{"key":"ref_91","unstructured":"Fu, P. (2011). Web GIS: Principles and Applications, ESRI Press."},{"key":"ref_92","first-page":"309","article-title":"From Improving Egos to Perfecting Smiles: Orthodontics and Psychology, 1945\u20132000","volume":"35","author":"Micu","year":"2018","journal-title":"Can. Bull. Med. Hist."},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Yi, J., Mao, X., Xue, Y., and Compare, A. (2013, January 20\u201323). Facial Expression Recognition Based on t-SNE and AdaboostM2. Proceedings of the IEEE International Conference on Green Computing & Communications, IEEE & Internet of Things, Beijing, China.","DOI":"10.1109\/GreenCom-iThings-CPSCom.2013.321"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"12244","DOI":"10.1073\/pnas.1510227113","article-title":"Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data","volume":"113","author":"Abdelmoula","year":"2016","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"e031161","DOI":"10.1136\/bmjopen-2019-031161","article-title":"Social media use and adolescent sleep patterns: Cross-sectional findings from the UK millennium cohort study","volume":"9","author":"Scott","year":"2019","journal-title":"BMJ Open"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"41516","DOI":"10.1109\/ACCESS.2020.2976881","article-title":"Social Media Big Data-Based Research on the Influencing Factors of Insomnia and Spatiotemporal Evolution","volume":"8","author":"Liu","year":"2020","journal-title":"IEEE Access"},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"3085","DOI":"10.1007\/s11116-020-10159-z","article-title":"Counting people in the crowd using social media images for crowd management in city events","volume":"48","author":"Gong","year":"2021","journal-title":"Transportation"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1111\/irfi.12309","article-title":"The effect of social media on corporate violations: Evidence from Weibo posts in China","volume":"21","author":"Zhou","year":"2021","journal-title":"Int. Rev. Financ."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"10383","DOI":"10.1007\/s11042-019-07779-8","article-title":"Study on multimedia network Weibo situational awareness model and emotional algorithm","volume":"79","author":"Huang","year":"2020","journal-title":"Multimed. Tools Appl."},{"key":"ref_100","doi-asserted-by":"crossref","unstructured":"Li, Y.Z., Gao, X.H., Du, M.Y., He, R., Yang, S.S., and Xiong, A.O. (2020). What Causes Different Sentiment Classification on Social Network Services? Evidence from Weibo with Genetically Modified Food in China. Sustainability, 12.","DOI":"10.3390\/su12041345"}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/17\/7\/1064\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:04:44Z","timestamp":1760033084000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/17\/7\/1064"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,4]]},"references-count":100,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["sym17071064"],"URL":"https:\/\/doi.org\/10.3390\/sym17071064","relation":{},"ISSN":["2073-8994"],"issn-type":[{"value":"2073-8994","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,4]]}}}