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• Social media enhanced collective intelligence
  ...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
• 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
• Context-Aware Harassment Detection on Social Media
  ...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
• 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
• 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
• 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
• 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

Page text matches

• SA-REST
  ...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
• AIISC WIKI
  ...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
• Public Health Addictions Research at AIISC
  ...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
• Social media enhanced collective intelligence
  ...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
• SWPM-2009
  ...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
• Datamining abstracts
  ...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
• WSU & AFRL Window-on-Science Seminar on Data Mining
  ...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
• Computing For Human Experience
  ===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
• Social Signals
  ...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
• Twitris
  ...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
• Linked Open Social Signals
  ...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
• SWPM-2010
  *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
• Twarql
  ...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
• PCS
  <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
• Continuous Semantics to Analyze Real Time Data
  with dynamic domains involved in social, Increasingly popular social, mobile, and sensor
  20 KB (3,011 words) - 18:12, 27 February 2014
• Trust
  =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
• Semantics Empowered Social Computing
  <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
• Citizen Sensing
  ...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
• PREDOSE
  ...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
• Twarql (Real-Time Event Following)
  ...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
• 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
• Project Safe Neighborhood
  ...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
• Swapnil Soni Thesis
  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
• Context-Aware Harassment Detection on Social Media
  ...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
• Modeling Social Behavior for Healthcare Utilization in Depression
  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
• Understanding and Mitigating the Impact of Web Robot and IoT Traffic on Web Systems
  ...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
• Hazards SEES
  #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
• Social and Physical Sensing Enabled Decision Support
  |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
• Market Driven Innovations and Scaling up of Twitris
  ...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
• BigDataTutorial
  ** 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
• Citypulse
  ===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
• 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