Text data produced on social networks like Facebook continuously increase. Reading and evaluating these posts manualy is very time consuming so our research is oriented to analyzing sentiment of these tests. Our goal is to deterimine sentiment of the aspects (topics) discussed in comment section on social networks.
This will be useful in data and marketing analysis, identifying positive and negative aspects of product or finding strong and weak parts of company. We will create method which identifies aspects, measure the sentiment of them and provide results suitable for furter research.
Personalized Web Research Group
Faculty of Informatics and Information Technologies
Slovak University of Technology in Bratislava