Opinion Mining on Usability Testing Data
Cetin Tekin, Hakan Yuksek, Mehmet S. Aktaş, Burak Arslan, Yunus Emre Sahin · 2020
Ensuring customer happiness is a must for companies. To achieve this, they should know about how much the products of them are liked. Methods like surveys can be used for that purpose. Instead of surveys, companies may benefit from another source: Usability testing data. Within the scope of this project, opinion mining and sentiment analysis is applied on Casper customers' usability testing data. Before applying opinion mining, product aspects are automatically extracted from the data. And to increase success rate of the process, CEP (Complex Event Processing) is applied. Highest success rate obtained in this research is eighty two percent without the contribution of CEP module.