SOCRATES 2.0: Bridging the gap between researchers and social media data through natural language interactions

Dongho Choi, Ziad Matni, Chirag Shah

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In order to help researchers who have to resort to time-consuming work on collecting, analyzing, and visualizing social media data, we have developed a system, called the Social and Crowdsourced Activity Extraction System (SOCRATES). This tool supports researchers utilize a single, modularly architected, open-sourced, and standardized platform for collecting, analyzing, and visualizing social media data. In this demonstration, a follow-up to one we presented at ASIST 2014 (Matni, Choi, & Shah, 2014), we present “SOCRATES 2.0” with improved functionalities, more precisely, those that help users focus on their research problem(s) without spending time and effort dealing with details in data processing. Through a process of asking questions related to the users’ interests and requests for certain analyses, the system generates one sentence about a possible research statement and provides the collected data and analysis results with one click.

Original languageAmerican English
Pages (from-to)1-4
Number of pages4
JournalProceedings of the Association for Information Science and Technology
Issue number1
StatePublished - Jan 2015

ASJC Scopus subject areas

  • General Computer Science
  • Library and Information Sciences


  • Social media
  • big data
  • demo
  • social computation
  • system

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