Suchergebnisse - "Social media data"

How do residents perceive urban parks? A cross-geographic comparison based on online reviews

Autoren: Lijuan Yang Qiuhong Wu

Quelle: Frontiers of Architectural Research, Vol 14, Iss 5, Pp 1217-1227 (2025)

Schlagwörter: Social media data, Regional comparison, Machine learning, Architecture, Landscape perception, Urban parks, NA1-9428, Natural language processing (NLP)

Zugangs-URL: https://doaj.org/article/41eefae3c57c4ec18b10312689ac2a56

Leveraging Visual Analytics of Volunteered Geographic Information to Support Impact-Based Weather Warning Systems

Autoren: Navarra, Carlo Kucher, Kostiantyn, Dr. Neset, Tina-Simone, Professor et al.

Quelle: AI4ClimateAdaptation International Journal of Disaster Risk Reduction. 126

Schlagwörter: visualization, classification, Volunteered Geographic Information (VGI), social media data, extreme weather events, flooding

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-213966
https://doi.org/10.1016/j.ijdrr.2025.105562

Modeling and monitoring social media dynamics to predict electricity demand peaks

Autoren: Isabella Nunes Grieser Tobias Gebhard Andrea Tundis et al.

Quelle: Energy Reports. 13:1548-1557

Schlagwörter: Power Grid Monitoring, Power System Resilience, Social Media Data, Misinformation Attack, SIR Model, Demand Response

Zugangs-URL: https://elib.dlr.de/210840/
https://doi.org/10.1016/j.egyr.2024.12.065

The Technological Bridge: R Programming’s Utility in Converting Social Media Data for Quantitative Financial Analysis

Autoren: Alexey Litvinenko Saarinen Samuli Anna Litvinenko

Quelle: Economics and Culture, Vol 22, Iss 1, Pp 70-80 (2025)

Schlagwörter: r programming, Economics as a science, econometric analysis, HF5001-6182, capm, g14, c58, Business, price non-synchronization, c87, social media data, HB71-74

Zugangs-URL: https://doaj.org/article/f414f6e35be345379ddbf149dfabef22

From data to insights: Machine learning in thematic analysis of complex health conditions on social media

Autoren: Anila Virani Ahsan Mollani Piper Jackson

Quelle: Knowledge Management & E-Learning: An International Journal, Vol 17, Iss 4, Pp 666-682 (2025)

Schlagwörter: machine learning, natural language processing, thematic analysis, social media data, complex health issues, General Works

Dateibeschreibung: electronic resource

Relation: https://www.kmel-journal.org/ojs/index.php/online-publication/article/view/647; https://doaj.org/toc/2073-7904

Zugangs-URL: https://doaj.org/article/d5b6d69cb2864e048215ea076174a634

Reuse of social media data in corpus linguistics

Autoren: Laitinen, Mikko Rautionaho, Paula

Quelle: International Journal of Corpus Linguistics. 30(2):171-194

Schlagwörter: social media data, replicability, reproducibility, metadata, research infrastructures, Engelska med språkvetenskaplig inriktning, English

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-139904

Weakly Supervised Deep Learning for Arabic Tweet Sentiment Analysis on Education Reforms: Leveraging Pre-Trained Models and LLMs With Snorkel

Autoren: Alanoud Alotaibi Farrukh Nadeem Mohamed Hamdy

Quelle: IEEE Access, Vol 13, Pp 30523-30542 (2025)

Schlagwörter: AraBERT, large language models, Electrical engineering. Electronics. Nuclear engineering, natural language processing, weakly training data, social media data, weak supervision, TK1-9971

Zugangs-URL: https://doaj.org/article/569b9a92a6a045dca6f5b8320d1d241d

A Mobility Model for Synthetic Travel Demand from Sparse Traces

Autoren: Liao, Yuan Ek, Kristoffer Wennerberg, Eric et al.

Quelle: Hållbara städer: användande av stora datamängder för att förstå och hantera rörelsemönster och trafikstockningar Next generation of AdVanced InteGrated Assessment modelling to support climaTE policy making (Navigate) IEEE Open Journal of Intelligent Transportation Systems. 3:665-678

Schlagwörter: social media data, sparse mobility traces, trip distance distribution, origin-destination estimation, travel demand

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/534578
https://research.chalmers.se/publication/532751
https://research.chalmers.se/publication/523815
https://research.chalmers.se/publication/534578/file/534578_Fulltext.pdf

Feasibility of estimating travel demand using geolocations of social media data

Autoren: Liao, Yuan Yeh, Sonia Gil, Jorge

Quelle: Hållbara städer: användande av stora datamängder för att förstå och hantera rörelsemönster och trafikstockningar Transportation. 49(1):137-161

Schlagwörter: gravity model, social media data, lateral data, origin-destination estimation, travel demand, longitudinal data

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/522089
https://research.chalmers.se/publication/523131
https://research.chalmers.se/publication/522358
https://research.chalmers.se/publication/523131/file/523131_Fulltext.pdf

When dialects collide: how socioeconomic mixing affects language use

Autoren: Thomas Louf José J. Ramasco David Sánchez et al.

Quelle: EPJ Data Science, Vol 14, Iss 1, Pp 1-21 (2025)

Schlagwörter: Computational sociolinguistics, Dialects, Socioeconomic status, Social media data, Agent-based modeling, Computer applications to medicine. Medical informatics, R858-859.7

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2193-1127

Zugangs-URL: https://doaj.org/article/83bd348bff4c4a828fd3903b6007f248

Digital inequality and neighborhood divides in online social networks in Chicago

Autoren: Karl Vachuska

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Schlagwörter: Social network analysis, Social media data, Neighborhoods, Racial inequality, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/4bff11d971d94dbc8c73907b0a065df2

Decoding public sentiment topics in google map reviews on urban infrastructure development of belt and road initiative

Autoren: Yue Xiong Jiayong Liang Chenghe Guan

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-12 (2025)

Schlagwörter: Belt and road initiative, Urban infrastructure, Public perception, Social media data, Urbanization, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/67a645e92de34f329dc26474892378bd

From data to design: Social network insights for urban design and regeneration

Autoren: Sepideh Zarepour Sohi Saeed Banihashemi Moslem Sheikhkhoshkar et al.

Quelle: Frontiers of Architectural Research, Vol 13, Iss 6, Pp 1377-1399 (2024)

Schlagwörter: Social media data, Urban regeneration, Architecture, 11. Sustainability, Social network analysis (SNA), Sustainable cities, NA1-9428, Urban public space, 12. Responsible consumption

Zugangs-URL: https://doaj.org/article/d0db96b66bb6448a87bc3456632a23c7

Artificial intelligence and the future of our sociolinguistic work

Autoren: Helen Kelly‐Holmes ULRR

Weitere Verfasser: Helen Kelly‐Holmes ULRR

Quelle: Journal of Sociolinguistics. 28:3-10

Schlagwörter: tools, FOS: Languages and literature, Linguistics, artificial intelligence, social media data, sociolinguistics

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/10344/14070
https://doi.org/10.34961/researchrepository-ul.27825894

A deep learning approach for enhancing pandemic prediction: A retrospective evaluation of transformer neural networks and multi-source data fusion for infectious disease forecasting

Autoren: Jiande Wu Shakhawat Tanim MinJae Woo et al.

Quelle: Epidemics, Vol 53, Iss , Pp 100865- (2025)

Schlagwörter: Infectious Disease, Deep Learning, Pandemic Prediction, Social Media Data, Transformer Networks, Infectious and parasitic diseases, RC109-216

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1755436525000532; https://doaj.org/toc/1755-4365

Zugangs-URL: https://doaj.org/article/3d8f1ac5d9684b80a26d469621395fef

Assessing thermal comfort in a landmark urban park: a case study and methodological framework of Alamo Square in San Fransico, USA

Autoren: Xiwei Shen Yuqian Guo Qiuyi Yang et al.

Quelle: Ecological Indicators, Vol 180, Iss , Pp 114206- (2025)

Schlagwörter: Urban space renewal, Climate-adaptation design, Social media data, ENVI-met simulation, Thermal comfort, Physiological equivalent temperature (PET), Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X25011380; https://doaj.org/toc/1470-160X

Zugangs-URL: https://doaj.org/article/9f1a34a2e94c458fb0c52493dc863332

Exploring emotions and perspectives of families with autism spectrum disorder individuals on sports participation: a case study on Weibo using machine learning method

Autoren: Shan He Fengshi Jing Hao Ren et al.

Quelle: BMC Sports Science, Medicine and Rehabilitation, Vol 17, Iss 1, Pp 1-9 (2025)

Schlagwörter: Autism spectrum disorder, Social media data analysis, Sports participation, Physical activity, Sentiment analysis, Sports medicine, RC1200-1245

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2052-1847

Zugangs-URL: https://doaj.org/article/c458d41a71b44ae2b15bcd240eef033b

Assessing cross cultural urban park emotional wellbeing impact in Shanghai and London

Autoren: Zijuan Zhao Qingying He Yaqiong Zhang et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Schlagwörter: Urban park, Visitors’ emotions, Social media data, Cross-cultural study, LightGBM, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/866f3b8854834ecc9d0a09a1f9df175f

Multitask Learning for Crash Analysis: A Fine-Tuned LLM Framework Using Twitter Data

Autoren: Shadi Jaradat Richi Nayak Alexander Paz et al.

Quelle: Smart Cities, Vol 7, Iss 5, Pp 2422-2465 (2024)

Schlagwörter: GPT, social media data analysis, large language models, road traffic crashes, TA1-2040, Engineering (General). Civil engineering (General), multitask learning

Zugangs-URL: https://doaj.org/article/30fb96e0adf4428bb92f16a0e22816d2

Using Social Media Data to Understand Citizen Perceptions of Urban Planning in a City Simulation Game

Autoren: Qiu, Yujia Lin, Yanliu He, Junyao et al.

Quelle: Simulation & Gaming

Schlagwörter: 11. Sustainability, 05 social sciences, citizen perception, 0211 other engineering and technologies, 0507 social and economic geography, City simulation game, 02 engineering and technology, online gaming community, social media data, urban planning, SDG 11 - Sustainable Cities and Communities

Zugangs-URL: https://research-portal.uu.nl/en/publications/ef8b1632-c4df-4c5b-b778-ca976bfdd115
https://doi.org/10.1177/10468781241271080