Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41171

Towards a Sentiment Analyzing Discussion-board

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Item Summary

Title: Towards a Sentiment Analyzing Discussion-board
Authors: Thoms, Brian
Eryilmaz, Evren
Mercado, Glo
Ramirez, Benjamin
Rodriguez, Jose
Keywords: asynchronous online discussion
data mining
design science research
online social networking
sentiment analysis
Issue Date: 04 Jan 2017
Abstract: In this paper we present the design and construction of a sentiment analyzing discussion board, which was used to support learning and interaction within an existing online social networking (OSN) system. More specifically, this research introduces an innovative extension to learning management software (LMS) that combines real-time sentiment analysis with the goal of fostering student engagement and course community. In this study we perform data mining to extract sentiment on over 6,000 historical discussion board posts. This initial data was analyzed for sentiment and interaction patterns and used for guiding the redesign of an existing asynchronous online discussion board (AOD). The redesign incorporates a sentiment analyzer, which allows users to analyze the sentiment of their individual contributions prior to submission. Preliminary results found that the proposed system produced more favorable outcomes when compared to existing AOD software.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41171
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.021
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Advances in Teaching and Learning Minitrack



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