Nowadays, users are often used to express their opinions on certain topics or products. Sentiment analysis is process of summarizing and analyzing reviews, what is crucial from the perspective of business and marketing. In this paper we focus on aspect-level sentiment analysis, which consists of more steps. Our main goal is to propose a method for automatic aspect extraction in Slovak language. Firstly, we implement simple method based on TF-IDF statistics. Secondly, we employ machine learning algorithm. We evaluate our method on data from student feedback on education at FIIT STU.
Personalized Web Research Group
Faculty of Informatics and Information Technologies
Slovak University of Technology in Bratislava