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Research on event perception based on geo-tagged social media data

Ruoxin Zhu, Chenyu Zuo, Diao Lin
2019 Proceedings of the ICA  
How to perceive an event through social media data has triggered a series of researches. Currently, we can find when, where what happened and induced impact based on geo-tagged social media data.  ...  However, event study based on social media is still in its infancy. This paper provides an overview of event study based on geo-tagged social media data.  ...  Event study meets geo-tagged social media data Geo-tagged social media data has been used to study event from multiple aspects.  ... 
doi:10.5194/ica-proc-2-157-2019 fatcat:i2vo6okebvfgjl5xuiid235a3m

Smart CDSS: integration of Social Media and Interaction Engine (SMIE) in healthcare for chronic disease patients

Iram Fatima, Sajal Halder, Muhammad Aamir Saleem, Rabia Batool, Muhammad Fahim, Young-Koo Lee, Sungyoung Lee
2013 Multimedia tools and applications  
This helps the health practitioners to understand the behavior and lifestyle of patients for better decision making about treatment.  ...  This paper points out the importance of social media and interaction integration in existing Smart CDSS for chronic diseases.  ...  Geo semantics acquisition A smartphone-based application is developed to collect the geo points of visiting locations and semantic tagging.  ... 
doi:10.1007/s11042-013-1668-5 fatcat:ef4os33jojenvkin7vznvzmh3m

Spatial Footprints of Human Perceptual Experience in Geo-Social Media

Jun Lee, Hirotaka Ogawa, YongJin Kwon, Kyoung-Sook Kim
2018 ISPRS International Journal of Geo-Information  
First a measurement is defined to estimate social sensation intensities, and subsequently sensation characteristics on geo-social media are identified using geo-spatial footprints.  ...  Analyses of social media have increased in importance for understanding human behaviors, interests, and opinions.  ...  In [44] , Linda et al. attempted to identify consumer-brand engagement (CBE) to reflect the nature of interactive brand relationships (including social interactions, emotional, and cognitive clues, and  ... 
doi:10.3390/ijgi7020071 fatcat:ns7tch64pjc57kuvdmejvfhi3i

Design and analysis of a large-scale COVID-19 tweets dataset

Rabindra Lamsal
2020 Applied intelligence (Boston)  
The datasets are released publicly, anticipating that they would contribute to a better understanding of spatial and temporal dimensions of the public discourse related to the ongoing pandemic.  ...  Since then, social media platforms have experienced an exponential rise in the content related to the pandemic.  ...  Acknowledgments The author is grateful to DigitalOcean and Google Cloud for funding the computing resources required for this study. Compliance with Ethical Standards  ... 
doi:10.1007/s10489-020-02029-z pmid:34764561 pmcid:PMC7646503 fatcat:7ctsgbhnprb4bmqpw7xejvhvra

Mining Trending Hash Tags for Arabic Sentiment Analysis

Yahya AlMurtadha
2018 International Journal of Advanced Computer Science and Applications  
Arabic hash tags trends have been used to evaluate the proposed approach.  ...  Tweets in trend hash tags may contain keyword or topics titles better represent the subject of the hash tag.  ...  Government agencies, business sectors and research agencies are using sentiment analysis for better and indirect understanding of public opinion in specific service, product or suggestions.  ... 
doi:10.14569/ijacsa.2018.090227 fatcat:7kks4zz3vrccrcy7eqo2zn7qju

Collaboration or competition: The impact of incentive types on urban cycling

Diego Fabian Pajarito Grajales, Auriol Degbelo, Michael Gould
2019 International Journal of Sustainable Transportation  
Yet, collaboration may be equally useful to motivate and engage cyclists.  ...  The results support the use of collaboration-based rewards in the design of gamebased applications to promote urban cycling.  ...  Two tech-based companies, Strava and Endomondo, use social interaction and geo-located data to engage users with sports (Barratt, 2017; Spillers & Asimakopoulos, 2014) . the interest of cities and tech-companies  ... 
doi:10.1080/15568318.2019.1627619 fatcat:s23rjo732vgtff3piot754fsaa


Bas Sijtsma, Pernilla Qvarfordt, Francine Chen
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
Social media offers potential opportunities for businesses to extract business intelligence.  ...  This paper presents Tweetviz, an interactive tool to help businesses extract actionable information from a large set of noisy Twitter messages.  ...  We present Tweetviz, an interactive social media analytics system for exploring large collections of geo-tagged Twitter data.  ... 
doi:10.1145/2911451.2911470 dblp:conf/sigir/SijtsmaQC16 fatcat:hrs2yxigx5b4jcxlcagt7k2ihu

Visualization of Web Application for Archiving Views of Railway Stations Experiences for Strollers

Makiko Hardada, Yoshiaki Komatsu, Hidenori Watanave
2015 International Journal of Asia Digital Art and Design Association  
We consider that our work will give a better understanding of various inconveniences for stroller users, and propose guidelines of what kind of behavior and understanding are required for each other.  ...  In addition, we visualize these views to overview with sentiment and key phrases simultaneously.  ...  [16] proposes a method to gather crowd behavioral vectors to derive latent classes of urban characteristics in terms of crowd behavioral patterns and relevant urban areas which are extracted using geo-tagged  ... 
doi:10.20668/adada.19.1_21 fatcat:kn2qq3er3reghph4q25ivsakti

Understanding Community Collective Behaviour Through Social Media Responses: Case of Sunda Strait Tsunami, 2018, Indonesia

Farah Pasha Salsabilla, Dyah Rahmawati Hizbaron, R. Che Omar, J.T. Sri Sumantyo, B. White, A. Cardenas Tristan, E. Haryono, D.R. Hizbaron, R.F. Putri
2021 E3S Web of Conferences  
Therefore, the characteristics of people's responses on social media based on spatio-temporal attributes needs to be understood first to build better understanding about the information that can be used  ...  Furthermore, people in areas that were not directly affected produced tweets with more positive sentiment with expressions of condolences, sympathy, gratitude and invitations for volunteers and social  ...  The author expresses their gratitude to Universitas Gadjah Mada for facilitating the compilation, as well as to D.R. Hizbaron as the supervisor for supporting this research.  ... 
doi:10.1051/e3sconf/202132501021 fatcat:2krtd62trjbhlmfirrftysan3q

Indian Premier League (IPL), Cricket, Online Social Media [article]

Megha Arora, Raghav Gupta, Ponnurangam Kumaraguru
2014 arXiv   pre-print
Such analysis can be used to model events and study their penetration in social networks.  ...  Analysis of geo-tagged data showed major activity from metropolitan suburbs however activity was not restricted to the regions geographically associated with each team.  ...  Geo-Analysis We analysed the geo-tagged tweets and Facebook posts to better understand the geographic distribution of IPL activity on social media.  ... 
arXiv:1405.5009v1 fatcat:nvuufu44nrgonptle5veskenwq

Understanding happiness in cities using Twitter: Jobs, children, and transport

Weisi Guo, Neha Gupta, Ganna Pogrebna, Stephen Jarvis
2016 2016 IEEE International Smart Cities Conference (ISC2)  
ACKNOWLEDGMENTS The authors would like to acknowledge the EPSRC Doctoral Training Centre (EP/L016400/1), RCUK/EPSRC Grant (EPL023911/1), and the Centre for Competitive Advantage in the Global Economy (  ...  The Data The data used in this paper comes from two sources: (1) 0.4 million geo-tagged social media data purchased from Twitter, covering a 2 weeks period (see Fig. 1a ), and (2) UK government ward-level  ...  In this paper, we apply natural language processing (NLP) techniques to 0.4 million geo-tagged Tweets in the Greater London area to understand the influence of socioeconomic and urban geography parameters  ... 
doi:10.1109/isc2.2016.7580790 dblp:conf/isc2/GuoGPJ16 fatcat:2e52eymc4jdyxhziyapafisepe

Emotions, Demographics and Sociability in Twitter Interactions [article]

Kristina Lerman, Megha Arora, Luciano Gallegos, Ponnurangam Kumaraguru, David Garcia
2016 arXiv   pre-print
In this study, we analyze a large corpus of geo-referenced messages, or tweets, posted by social media users from a major US metropolitan area.  ...  Our work highlights the value of linking social media data to traditional data sources, such as US Census, to drive novel analysis of online behavior.  ...  A number of innovative research works attempted to better understand human emotion and mobility. Some of these works focuses on geo-tagged location data extracted from Foursquare and Twitter.  ... 
arXiv:1510.07090v2 fatcat:nmnpetjwvjdw7oqrekmqqgkru4

Detecting Non-personal and Spam Users on Geo-tagged Twitter Network

Diansheng Guo, Chao Chen
2014 Transactions on GIS  
With the rapid growth and popularity of mobile devices and location-aware technologies, online social networks such as Twitter have become an important data source for scientists to conduct geo-social  ...  The extracted rules are theoretically interesting and practically useful.  ...  Therefore, it is important to understand and filter out such outliers in a geo-social analysis of tweets or twitter users.  ... 
doi:10.1111/tgis.12101 fatcat:otwfkxw5ivde5m7u7jjwpzbify

Semantic-aware Visual Abstraction of Large-scale Social Media Data with Geo-Tags

Zhiguang Zhou, Xinlong Zhang, Xiaoyun Zhou, Yuhua Liu
2019 IEEE Access  
With the rapid growth of geo-tagged social media data, it has become feasible to explore topics across different areas through text mining and geographical visualization.  ...  INDEX TERMS Doc2vec, social media, geo-tagged, blue noise sampling, visual abstraction.  ...  Thus, it remains a challenge to conduct in-depth scale interactive visual analytics of large-scale geo-tagged social media data [22] .  ... 
doi:10.1109/access.2019.2935471 fatcat:l5e65ynrtvdkfbhblpvmln2adq

Spatio-semantic user profiles in location-based social networks

Soha Mohamed, Alia I. Abdelmoty
2017 International Journal of Data Science and Analytics  
In this paper, semantic information is summarised as tags for places and a folksonomy data model is used to represent spatial and semantic relationships between users, places, and tags.  ...  Knowledge of users' visits to places is one of the keys to understanding their interest in places.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s41060-017-0059-9 dblp:journals/ijdsa/MohamedA17 fatcat:zuhztegzvfapzkhujqb5mvpbsm
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