SOCRATES 2.0: Bridging the gap between researchers and social media data through natural language interactions. Issue 1 (24th February 2016)

• Record Type: Journal Article
• Authors: Choi, Dongho; Matni, Ziad; Shah, Chirag
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 52:Issue 1(2015)
• Page Start: 1
• Page End: 4
• Publication Date: 2016-02-24
• Subjects: Social media -- big data -- social computation -- system -- demo; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.2015.1450520100139
• Languages: English
• ISSNs: 2373-9231

Abstract

ABSTRACT: 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 So cial and Cr owdsourced A c t ivity E xtraction S ystem (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.