NDLI: A Web-Based Tool for Collaborative Social Media Data Analysis

Content Provider	IEEE Xplore Digital Library
Author	Xin Chen Madhavan, K. Vorvoreanu, M.
Copyright Year	2013
Description	Author affiliation: Comput. Graphics Technol., Technol. Leadership & Innovation, Purdue Univ., West Lafayette, IN, USA (Vorvoreanu, M.) \|\| Sch. of Eng. Educ., Purdue Univ., West Lafayette, IN, USA (Xin Chen; Madhavan, K.)
Abstract	User-generated content on social media sites such as Twitter and Facebook provides opportunity for researchers in various fields to understand human behaviors and social phenomena. On the one hand, these human behaviors and social phenomena are very complex in nature thus require in-depth qualitative analysis. On the other, the magnitude of social media data requires large-scale data analysis techniques. In this paper, we propose a web-based tool named SWAB (Social Web Analysis Buddy) that integrates both qualitative analysis and large-scale data mining techniques. Specifically, this tool supports asynchronous collaboration among researchers conducting inductive content analysis on textural data from users' online posts and conversations. It then aggregates the results and calculates the agreement among researchers, and builds modeling algorithms based on the qualitative results to classify large-scale social media text content. This current paper focuses on the overall workflow and user interface design of this tool. We demonstrate the prototype of this tool by analyzing student-posted content on Twitter.
Starting Page	383
Ending Page	388
File Size	1114554
Page Count	6
File Format	PDF
ISBN	9780769551142
DOI	10.1109/CGC.2013.67
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-30
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text mining Social media analytics Data analysis Databases Collaboration Media User interfaces Textual content analysis Twitter Servers Human Computer Interaction
Content Type	Text
Resource Type	Article

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