Title: QUANTIFYING TEXT-BASED PUBLIC'S EMOTION AND DISCUSSION ISSUES IN ONLINE FORUM
Issue Number: | Vol. 1, No. 2 |
Year of Publication: | Aug - 2011 |
Page Numbers: | 428-436 |
Authors: | Siti Z. Z. Abidin, Nasiroh Omar, Muhammad H.M. Radzi and Mohammad B.C. Haron |
Journal Name: | International Journal of New Computer Architectures and their Applications (IJNCAA) - Hong Kong |
Abstract:
Currently, an online forum is becoming one of the trends in social media. Social media allow people to communicate interactively so they can share their feelings and opinions. Even though, they are communicating through text, such digital element permits them to express their emotions. The information that is conveyed through texts has the potential to influent people’s mind sets. In this paper, we propose to quantify people’s perception in an online forum by analyzing their words. The number of occurrences for significant words is counted in order to measure their perception based on emotion and issues that they are discussing. This new approach significantly reduce the time for collecting, processing, and analyzing data, as well as visualizing results, specifically for seeking public’s perception and emotion of specific issues.