• Organizing a special track on "Applications of Social Media in Security Informatics" (ASMSI) in The Seventh International Conference on Social Media Technologies, Communication, and Informatics (SOTICS) 2017.

  • Successfully defended my Ph.D. thesis on June 22, 2017. My dissertation can be accessed here.

  • Awarded student travel grant from PAKDD and ACM-India to present my work at PAKDD 2017

  • submitted my Ph.D. dissertation to the examiners [Synopsis Link]

  • will Present my work dynamics of religious conflict on online social media at PAKDD, Jeju, South Korea (May 23-26, 2017)

  • Presented my paper on complaint reports identification at ADMA, Gold Coast, Australia (December 12-15, 2016)

  • Presented my work on racist intent classification in microblogs at EISIC, Uppsala, Sweden (August 17-19, 2016)

  • Presented my work at CoDS- on mining Twitter data for civil unrest event prediction, Pune (March 13-16, 2016)

News

Google Scholar:Link, DBLP:Link

Mendeley Profile:Link, LinkedIn:Link

E-mail: swatia@iiitd.ac.in

​​Swati Agarwal


About

I am a Computer Science Ph.D., graduated from IIIT-Delhi advised by Dr. Ashish Sureka and co-advised by Dr. Vikram Goyal.  My thesis is focused on "Open Source Social Media as Sensors for Enabling Government Identification, Prediction and Response Applications". The aim of these applications is to investigate text classification and natural language processing-based techniques for developing novel applications of Open Source Social Media Intelligence in the government sector. For example, 

  • mining micro-blogging website to analyze citizen-centric complaints and grievances in the public sector
  • mining CrowdBuzz and Mobilizing posts on Twitter for an early forecast of civil unrest and protest events
  • addressing the challenges of offline surveys by investigating the dynamics of religious conflicts on social media
  • propose solutions for detecting, prevent and combat online radicalization and extremism (content, users, and communities)
  • automatic identification of racist and radicalized posts based on the intent of the author
  • detecting secret message exchanged in an adversarial communication and capture the obfuscated terms in messages.


My thesis can be accessed here: Link


My primary research interests are in social computing, social informatics, machine learning, data mining, natural language processing, text mining and analytics, and information visualization.