Importance of the Neutral Category in Fuzzy Clustering of Sentiments

Lawrence Nderu
2014 International Journal of Fuzzy Logic Systems  
Social media is said to have an impact on the public discourse and communication in the society. It is increasingly being used in the political context. Social networks sites such as Facebook, Twitter and other microblogging services provide an opportunity for public to give opinions about some issues of interest. Twitter is an ideal platform for users to spread not only information in general but also political opinions, whereas Facebook provides the capability for direct dialogs. A lot of
more » ... ies have shown that a need exists for stakeholders to collect, monitor, analyze, summarize and visualize these social media views. Some authors have tended to categorize these comments as either positive or negative ignoring the neutral category. In this paper, we demonstrate the importance of the neutral category in the clustering of sentiments from the social media. We then demonstrate the use of fuzzy clustering for this kind of task.
doi:10.5121/ijfls.2014.4201 fatcat:v2c6agfstfduvcpvxwawgk7wqe