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• PLATO
  ...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
• Summary about Social Media Research in Disaster/Emergency Response Systems
  [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
• Understanding User's Geographic Context
  <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
• RT Events On LOD
  =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
• Entity Identification and Extraction related to a Specific Event
  ...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
• EmojiNet
  ...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
• ElectionPrediction
  ...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
• Ashutosh Jadhav
  '''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
• KHealth: Semantic Multisensory Mobile Approach to Personalized Asthma Care
  ...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
• Hierarchical Interest Graph
  ...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
• Cursing in English on Twitter
  ...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
• IEEE BigData 2014 Workshop on Enterprise Big Data Semantics and Analytics Modeling
  ...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
• IEEE BigData 2014 Workshop on Enterprise Big Data Semantics and Analytics Modeling
  ...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
• Location Prediction of Twitter Users
  <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
• Dementia
  ==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
• SemBigData
  ...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
• SemBigData1+
  ...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
• EDrugTrends
  <!-- = 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
• Socialhealthsignal
  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
• NIDA National Early Warning System Network (iN3)
  =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

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