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• Kno.e.sis research in Social Media for Social Good
  ...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
• Research Projects
  ...ent_Detection_on_Social_Media Context-Aware Harassment Detection on Social Media] ...Modeling_Social_Behavior_for_Healthcare_Utilization_in_Depression Modeling Social Behavior for Healthcare Utilization in Depression]
  2 KB (293 words) - 19:47, 19 June 2016
• Gender-­based violence (GBV)
  ...ign of mitigation and policy. In this project we assess the role of social media (data from Twitter) to identify public views related to GBV, and tweeting p
  3 KB (411 words) - 17:21, 3 January 2017
• Zika Knowledge and Perception Studies
  ...l as with the rise in social media sites such as Facebook and Twitter. Big social data eliminate the time lag caused by traditional survey based methods, all ...etect Zika related tweets. A quicker detection of a disease through social media can give more time to prepare the response team and contain the disease spr
  7 KB (1,057 words) - 16:28, 4 May 2017
• Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare
  ...ta to 360-degree, multimodal personal-public-population physical-cyber- social big data driven. While ability to create and capture data is already here, ...ions, Electronic Medical Records (EMRs), web-based information, and social media. The exploitation of all relevant data, relevant medical knowledge, and AI
  32 KB (4,728 words) - 20:38, 19 October 2022
• DAO
  automates the collection of web-based social media content for subsequent semantic annotation. The [[Category:Social Media]]
  7 KB (1,035 words) - 17:29, 10 April 2023
• KE4WoTChallengeWWW2018
  ...ing extraction techniques are frequently applied to text from document and social networks. The main novelty of this challenge would be to apply web-based ex '''Input:''' A domain-specific corpus of social media text (e.g., tweets).
  39 KB (5,707 words) - 13:23, 23 March 2021
• Knowledge will Propel Machine Understanding of Content
  ...lications need to use complementary or related data in multiple modalities/media. What brings us to the cusp of rapid progress is our ability to (a) create ...(e.g., air quality, pollen, weather), and extract textual data from social media (i.e., tweets and web forum data relevant to asthma) [1]. Each of these mod
  48 KB (7,173 words) - 13:20, 13 May 2018
• KnoesisEvents2018
  ...iew/iscram2018geotutorial Location Extraction and Georeferencing in Social Media Challenges, Techniques, and Applications]
  2 KB (290 words) - 20:18, 31 January 2018
• Location Extraction and Georeferencing in Social Media
  <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
• Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience
  ...measure, monitor, predict, and react to the user’s physical, cyber, and social environment and thus more intimately support any decision or action.7 ...nowledge on the Web (Wikipedia and linked open data, for example), and the social sphere encompasses the many forms of human interaction. Observation data m
  35 KB (5,073 words) - 18:51, 30 October 2022
• ProfSvc
  Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media ...misupervised-approach-to-monitoring-clinical-depressive-symptoms-in-social-media Slides]]
  10 KB (1,301 words) - 16:30, 4 March 2018
• CKG2018
  * Social media and contextualized knowledge graphs
  11 KB (1,513 words) - 17:59, 9 October 2018
• Knoesis Alchemy of Healthcare
  ...the kAofH platform is envisioned and designed to evolve and support other social good projects at Kno.e.sis. Health-related and user-generated text from sources such as social media, forums (e.g., Twitter, Reddit, Patient.info) pose a challenge due to natur
  13 KB (1,859 words) - 20:14, 4 September 2018
• ACM Transactions in Social Computing - Special Issue on Emoji Understanding and Applications in Social Media
  ...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
• DisasterRecord
  .../b>, our [http://callforcode.org CallForCode] submission, processes social media and crowdsourced data including imagery gathered during disaster events to ...tures (such as flooded urban areas) for better decision making. All social media data processing is in real-time. Thus, DisasterRecord remains up-to-date to
  6 KB (774 words) - 16:30, 8 November 2018
• Answer-Robotic-SemanticWeb-IoT-Workshop-IROS2019
  * Impact and relation of knowledge-based technologies in social robotics and robot ethics ...the Best Conference Paper Award in ICRA 2019. His work has been covered by media, such as MIT Technology Review and Stanford News. In addition, he's had res
  29 KB (4,093 words) - 16:14, 4 November 2019
• Covid19
  =COVID-19: Public Health Study: Semantic Analysis of Social Media and New Big Data to understanding COVID-19's impact on mental health, addic ...d (or Domestic) Violence (GBV). We have been successfully utilizing social media measures for epidemiology and public health research, such as Drug abuse (l
  16 KB (2,230 words) - 00:41, 21 November 2020
• Community-Driven Data Engineering for Substance Abuse Prevention in the Rural Midwest
  ...hapter in "Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining", Editor: Nitin Agarwal, Springer, 2019. ...ge-infused Deep Learning"], In 31st ACM Conference on Hypertext and Social Media (HT'20), Florida, USA
  10 KB (1,416 words) - 18:12, 13 May 2021
• Modeling Radicalization on Social Media
  <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
• Modeling Radicalization on Social Media using Knowledge-infused and Context-aware Learning
  <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
• NSF Convergence Accelerator Track F: Actionable Sensemaking Tools for Curating and Authenticating Information in the Presence of Misinform
  ...s can be extensive especially with the rise of Web technologies and social media and the ease with which such misinformation can be shared, propagated, and ...king from a diverse set of resources (news outlets, citizen sourced social media data, governance policy documents, open data) in the presence of misinforma
  4 KB (582 words) - 16:19, 1 September 2021
• Moments of Change in Mood (Switch/Escalation)
  ...ed on their language use and other interactions through the use of digital media, called 'user-generated content' (UGC) [1][2]. Major outcomes include soft ...hnaprasad Thirunarayan et al. "Multimodal mental health analysis in social media." Plos one 15, no. 4 (2020): e0226248.
  7 KB (906 words) - 21:13, 6 March 2022
• Aphasia - Identifying Cognitive Decline
  <!-- = Trending Social media analysis to monitor cannabis and synthetic cannabinoid use.= --> social, emotional, cognitive, and language measures. Currently, data has been coll
  5 KB (670 words) - 17:40, 30 May 2022
• ABC-AI
  <!-- = Trending Social media analysis to monitor cannabis and synthetic cannabinoid use.= --> social, emotional, cognitive, and language measures. Currently, data has been coll
  6 KB (821 words) - 17:23, 10 April 2023
• Advancing Neuro-symbolic AI with Deep Knowledge-infused Learning
  ...ed mental health conversations related to Cardiovascular disease on social media, which requires domain knowledge. We developed '''knowledge-assisted masked ...rning Framework. Sixteenth International AAAI Conference on Web and Social Media (ICWSM). 2022, pp. 640-650.Fulltext Citation details
  39 KB (5,333 words) - 22:21, 20 December 2023
• Virtual Health Assistant for Mental Health
  ...60 Process Knowledge-infused Learning for Suicidality Assessment on Social Media].<br> ...60 Process Knowledge-infused Learning for Suicidality Assessment on Social Media].<br>
  7 KB (892 words) - 15:05, 26 September 2022
• Mental Health Projects
  ...60 Process Knowledge-infused Learning for Suicidality Assessment on Social Media] ...frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center></html>
  9 KB (1,153 words) - 18:45, 30 June 2023

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