Analyzing user experience through web opinion mining

SILVANA ACIAR; GABRIELA ACIAR

Vancouver

Congreso; HCI International 2017; 2017

Opinion Mining is related to the analysis of the subjective components that are implicit in the contents generated by the users. Obtaining polarity and sentiment analysis based on characteristics are fundamental objectives in the mining of opinions. Words such as good, bad, broken, not working, no, yes, etc. are taken into account. These words represent the state or condition of the product/service or parts of the product/service. The user experience is composed of factors and elements related to the per-ception of the user in the interaction with the product / service. It is important to identify in the text written in the opinions words that help infer factors of per-ception.In this work we propose a method to evaluate the user experience and not only the positive or negative opinion from the text written by the user