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  • ...content and patterns of analysts’ communications (in particular, social media communications). ...standing and modeling diversity in human social networks. We emphasize the social aspect of diversity because differences in individuals’ knowledge and vie
    6 KB (838 words) - 22:03, 13 June 2017
  • [http://knoesis.wright.edu/research/semsoc/projects/socs SoCS: Social Media Enhanced Organizational Sensemaking in Emergency Response] Keywords: Social Networking, Emergency Response, Content Analysis, Network Analysis, Organiz
    23 KB (3,252 words) - 21:13, 29 September 2014
  • ...rch will ensure wide impact of scientific research on the support for safe social interactions. ...The prevalence and serious consequences of online harassment present both social and technological challenges.
    21 KB (2,791 words) - 17:13, 7 February 2024
  • ...lenges of our time such as disaster management and diplomacy (e.g., social media-based emergency coordination, water diplomacy), e-Sciences with a focus on === [[Social and Physical Sensing Enabled Decision Support]] (Hazards SEES): ===
    8 KB (1,166 words) - 16:12, 12 February 2016
  • <font size="5"><b>Location Extraction and Georeferencing in Social Media</b>: Challenges, Techniques, and Applications</font> ...ow people express location information explicitly and implicitly on social media, and in general, develop efficient techniques for geospatial computing that
    8 KB (1,041 words) - 08:11, 11 February 2018
  • ...dealing with computer and social science research efforts on understanding social, cultural, communicative, and linguistic roles of emoji and on building nov #Emoji's effects on the evolution of language constructs used on social media such as emoticons and slang terms
    5 KB (737 words) - 19:08, 4 December 2018
  • <b>Modeling Radicalization on Social Media using Knowledge-infused & Context-Aware Learning</b> is an inter-disciplina ...it), using machine learning, text mining, natural language processing, and social network analysis.
    10 KB (1,404 words) - 16:38, 21 September 2020
  • <b>Modeling Radicalization on Social Media using Knowledge-infused & Context-Aware Learning</b> is an inter-disciplina ...it), using machine learning, text mining, natural language processing, and social network analysis.
    13 KB (1,755 words) - 16:59, 3 October 2020

Page text matches

  • ...f these include SA-REST extensions for Web APIs and SA-REST extensions for social networking profiles. An author desiring to create a new ...ent driven Web applications in the current economic scenario. For example, social networking applications such as...</span></nowiki></pre>
    18 KB (2,860 words) - 15:12, 20 April 2011
  • ...uring the Spatio-Temporal Psychological Impact of Novel Coronavirus with a Social Quality Index, ''start: 2020'' * [[Context-Aware Harassment Detection on Social Media]]
    10 KB (1,249 words) - 16:26, 19 February 2024
  • ...diction-x-social-media-ai Public Health, Epidemiology, Addictions x Social Media & AI Slides]</b>== ...://www2.slideshare.net/aiisc/public-health-epidemiology-addiction-x-social-media-ai Overall picture of our Addictions work.]
    21 KB (2,884 words) - 18:55, 1 December 2022
  • ...content and patterns of analysts’ communications (in particular, social media communications). ...standing and modeling diversity in human social networks. We emphasize the social aspect of diversity because differences in individuals’ knowledge and vie
    6 KB (838 words) - 22:03, 13 June 2017
  • ...ecial issue on “Provenance in Web applications in Business, eScience and Social Networking” also emphasizes the increasing importance of provenance manag *Role of provenance in social networks, social media and Web 2.0 (mashups)
    15 KB (2,071 words) - 03:33, 18 April 2011
  • ...ning and will provide a broad overview of our work with biomedical, social media (e.g., twitter), and ...ation & Services Science, a world leader in Semantic, Services, Sensor and Social computing over Web and mobile platforms (also called Semantic Web, Web 2.0,
    7 KB (945 words) - 16:17, 11 August 2009
  • ...ning and will provide a broad overview of our work with biomedical, social media (e.g., twitter), and sensor data. ...ation & Services Science, a world leader in Semantic, Services, Sensor and Social computing over Web and mobile platforms (also called Semantic Web, Web 2.0,
    10 KB (1,383 words) - 18:24, 12 August 2009
  • ===Semantics empowered Sensors, Services, and Social Computing on ubiquitous Web=== ...variety of technologies, including computing technologies; communication, social-interaction, and Web technologies; and embedded, fixed, or mobile sensors a
    27 KB (3,973 words) - 01:41, 11 November 2023
  • ...ent, many people have become “citizens” of an Internet- or Web-enabled social community; the use of Internet- or Web-enabled mobile devices to upload thi ...ed the open environment and applications or tagging, blogging, wikis, and social networking sites that have made information consumption, production, and sh
    25 KB (3,769 words) - 16:43, 14 November 2010
  • ...pter in the [http://www.springer.com/us/book/9781493971305 Encyclopedia of Social Network Analysis and Mining, Springer, 2017]: ...W. Twitris - A System for Collective Social Intelligence. Encyclopedia of Social Network Analysis and Mining (ESNAM), 2017, pp. 1-23.'''
    59 KB (8,490 words) - 12:50, 14 October 2021
  • ...nesses and researchers around the world. However, analyzing these numerous social signals can be extremely challenging. Microblog posts are streamed in large ...ing the information overload of those interested in collectively analyzing social signals for sensemaking. Our approach can be summarized as follows:
    17 KB (2,378 words) - 14:21, 4 February 2016
  • *Role of provenance in social networks, social media and Web 2.0 (mashups) ...rvices, and his research interests includes semantics-empowered sensor and social computing on the Web. His research has led to two companies and many deploy
    15 KB (2,083 words) - 16:44, 19 December 2011
  • ...information about the project, please visit our project page [[Linked Open Social Signals]]. ...e=corr10asur>S. Asur and B. A. Huberman. Predicting the future with social media. CoRR, abs/1003.5699, 2010.</ref> or to manage earthquakes detection <ref n
    9 KB (1,216 words) - 17:17, 22 January 2016
  • <span style="font-size:26pt;color:purple">Physical-Cyber-Social Computing: An Early 21st Century Approach to <br /><br /> Computing for Hum ...activities and engagements, decision making, interaction with physical and social worlds, generating insights, and just about anything that a human, as an in
    36 KB (5,138 words) - 23:13, 8 April 2023
  • with dynamic domains involved in social, Increasingly popular social, mobile, and sensor
    20 KB (3,011 words) - 18:12, 27 February 2014
  • =Trust in Interpersonal, Social, and Sensor Networks= ...re pursuing research on trust and trustworthiness issues in interpersonal, social, and sensor networks, to potentially unify and integrate them for exploitin
    10 KB (1,335 words) - 13:51, 16 June 2021
  • <span style="font-size:28pt;color:purple">Semantics Empowered Social Computing</span><br /><br /> .... Vital to the success of the Semantic Social Web is to understand how the Social Web will be enriched by the Semantic Web.<br /><br />
    17 KB (2,675 words) - 14:14, 4 February 2016
  • ...t= Gears Image]]<span style="font-size:26pt;color:purple">Citizen Sensing, Social Signals, and Enriching Human Experience</span> Web-enabled social community; the use of Internet-or Web-enabled mobile devices to upload
    27 KB (4,031 words) - 16:37, 29 February 2012
  • ...as sentiments, emotions, intervals, frequency, dosage, etc.'') from social media. PREDOSE is the predecessor of both the [http://wiki.knoesis.org/index.php/ * [http://www.med.wright.edu/whatsnew/2013/socialweb Researchers use social web forum data to understand nonmedical use of painkillers] (article by [ht
    26 KB (3,749 words) - 23:25, 2 May 2019
  • ...e=corr10asur>S. Asur and B. A. Huberman. Predicting the future with social media. CoRR, abs/1003.5699, 2010.</ref> or to manage earthquakes detection <ref n ** Architecture, SPARQL client ([[Cuebee]]), Social Sensor (Extraction, Annotation), API, Documentation
    8 KB (1,136 words) - 20:12, 17 March 2011
  • ...ction for Linked Data. In Proceedings of the 23rd ACM Hypertext and Social Media conference (HT 2012), Milwaukee, WI, USA, June 25th-28th, 2012.
    2 KB (235 words) - 16:16, 18 August 2012
  • [http://knoesis.wright.edu/research/semsoc/projects/socs SoCS: Social Media Enhanced Organizational Sensemaking in Emergency Response] Keywords: Social Networking, Emergency Response, Content Analysis, Network Analysis, Organiz
    23 KB (3,252 words) - 21:13, 29 September 2014
  • <span style="font-size:11.5pt">Much effort on social media content analysis seeks to find out what people do and think. Such as event <span style="font-size:11.5pt">Four different types of context in social media (e.g., Twitter, etc) can be used for the disambiguation: (1) the other plac
    13 KB (2,047 words) - 19:39, 22 November 2011
  • =Real Time Social Events on LOD= ...LOD in Real-Time. We also developed a visualization tool for event centric social data to visualize trending entities with relations from DBPedia (Graph Visu
    11 KB (1,671 words) - 04:51, 13 December 2011
  • ...ople talk about a number of entities related to a specific event on social media; and analysts want to have a deeper insight with respect to ‘what’ peop ...merge at any point of time and need to be recognized, especially on social media which might influence many people or some very critical issues. Thus, the i
    14 KB (2,274 words) - 05:29, 3 December 2011
  • ...eir popularity may be explained by the typical short text format of social media, with emoji able to express rich content in a single character. Emoji are a ...://icwsm.org/2017/ In 11th International AAAI Conference on Web and Social Media (ICWSM 2017)]. Montreal, Canada; 2017. [http://emojinet.knoesis.org/ Demo]
    10 KB (1,467 words) - 21:17, 16 June 2017
  • ...rimaries? Exploring these questions can expand our understanding of social media based prediction, and shed light on using user sampling to further improve <span style="font-size:11.5pt">Here, we study different groups of social media users who engage in the discussions of elections, and compare the predictiv
    29 KB (4,542 words) - 19:57, 23 July 2012
  • '''Research interest:''' Search Intent Mining, Social Media Analytics, Health Informatics, Text Analytics, Semantic Web, Search Log Ana ** Projects: Search Intent Mining, Semantic Query expansion, Social Health Signals and Twitris
    25 KB (3,254 words) - 19:27, 13 April 2016
  • ...014. Smart Data for you and me: Personalized and Actionable Physical Cyber Social Big Data. ...ions, Electronic Medical Records (EMRs), web-based information, and social media. The exploitation of all relevant data, relevant medical knowledge, and AI
    32 KB (4,360 words) - 23:32, 19 October 2022
  • ...ccuracy. In Proceedings of the 24th ACM Conference on Hypertext and Social Media, HT ’13, pages 21–30, New York, NY, USA, 2013. ACM.</ref> We have also
    24 KB (3,568 words) - 20:49, 21 January 2015
  • ...er, we examine the characteristics of cursing activity on a popular social media platform – Twitter, involving the analysis of about 51 million tweets and ...nform policy or decision makers and develop tools to help manage important social and human development issues/challenges, including:
    32 KB (5,003 words) - 15:32, 26 February 2014
  • ...focused on unstructured data such as web logs, web crawl data, and social media data. One area which has received less attention but offers significant opp
    4 KB (551 words) - 16:04, 23 June 2014
  • ...focused on unstructured data such as web logs, web crawl data, and social media data. One area which has received less attention but offers significant opp
    4 KB (551 words) - 16:08, 23 June 2014
  • <div style="text-align: justify">With the advent of social media, many applications like brand management, personalization and recommendatio ...rd Usage." Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). IEEE Computer Society, 2012.</r
    10 KB (1,551 words) - 03:58, 28 January 2015
  • ==In the Media== Everyaware [11], AirQuality Egg [12], Allergy Alerts [13,14], Social Observations (e.g., tweets), Air Quality Index[15]<br/>
    12 KB (1,625 words) - 21:07, 28 February 2019
  • ...ve Value for supporting practical applications transcending physical-cyber-social continuum. ...s and mobile devices to multimodal data sources such as sensors and social media. The applications can span multiple domains such as medical, geographical,
    61 KB (8,752 words) - 18:31, 23 October 2014
  • ...ve Value for supporting practical applications transcending physical-cyber-social continuum. ...s and mobile devices to multimodal data sources such as sensors and social media. The applications can span multiple domains such as medical, geographical,
    50 KB (7,247 words) - 18:36, 1 August 2014
  • <!-- = Trending Social media analysis to monitor cannabis and synthetic cannabinoid use.= --> ...latform, '''eDrugTrends''', capable of semi-automated processing of social media data to identify emerging trends in cannabis and synthetic cannabinoid use
    18 KB (2,521 words) - 23:32, 2 November 2022
  • Domain Specific Document Retrieval Framework for Near Real-time Social Health Data Our Social Health Signal platform is based on a) large scale real-time Twitter data pr
    7 KB (1,109 words) - 21:01, 15 May 2015
  • =Media= ...ing drug use. The second involves measures of drug use derived from social media (Twitter feeds and web forums).
    9 KB (1,290 words) - 20:39, 29 April 2019
  • ...ss of those strategies by a number of methods, including the use of social media. ....], [http://knoesis.org/library/resource.php?id=2148 'Analyzing the Social Media Footprint of Street Gangs,'] in [http://isi2015.wix.com/isi-2015/index.html
    8 KB (1,165 words) - 21:15, 7 November 2016
  • Domain Specific Document Retrieval Framework for Near Real-time Social Health Data. ...and sharing health information online: Comparing search engines and social media. In Proceedings of the 32nd annual ACM conference on Human factors in compu
    11 KB (1,771 words) - 14:30, 20 December 2016
  • ...rch will ensure wide impact of scientific research on the support for safe social interactions. ...The prevalence and serious consequences of online harassment present both social and technological challenges.
    21 KB (2,791 words) - 17:13, 7 February 2024
  • life negatively, and also poses as a barrier for social integration. Further, since self-stigma can exist without recognition and treatment of depressive behavior and symptoms can improve social function, increase
    13 KB (1,758 words) - 18:28, 13 May 2021
  • ...dynamic content in the form of in-the-moment news articles, opinions, and social information. Consequently, Web robots or crawlers, which are software agent ...ors exist for many important types of Internet traffic including streaming media, peer-to-peer file sharing, and malicious attackers, two differentiated fea
    20 KB (3,190 words) - 17:35, 23 March 2016
  • #REDIRECT [[Social and Physical Sensing Enabled Decision Support]] ...ong researchers in computer science, engineering, natural sciences and the social sciences for research, education, and training of undergraduate and graduat
    5 KB (706 words) - 14:51, 7 March 2016
  • |name = Social and Physical Sensing Enabled Decision Support |above = Social and Physical Sensing Enabled Decision Support
    19 KB (2,457 words) - 20:03, 5 June 2020
  • ...Twitris’ unique features include real-time semantic analysis of social media content along spatio-temporal-thematic, people-content-network, and sentime ...ket-driven Innovations and Scaling up of Twitris - A System for Collective Social Intelligence
    16 KB (1,995 words) - 22:39, 12 June 2018
  • ** Processing social data streams ...ototypical problems. Example applications include: '''Smart Cities, Social Media Analytics, Sensor Networks, Situational Awareness, Digital Health,''' etc.
    8 KB (927 words) - 10:15, 9 March 2016
  • ===City as a Physical-Cyber-Social ([http://wiki.knoesis.org/index.php/PCS PCS]) System=== ...ty related activities. Real-world events manifests in physical, cyber, and social modalities. Algorithms for analyzing city events relying only on a single m
    14 KB (2,058 words) - 15:52, 24 March 2016

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