Victoria Bobicev

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In this paper we describe the process of Russian and Romanian WordNet-Affect creation. WordNet-Affect is a lexical resource created on the basis of the Princeton WordNet which contains information about the emotions that the words convey. It is organized in six basic emotions: anger, disgust, fear, joy, sadness, surprise. We translated the WordNet-Affect(More)
The paper presents the results of participation of Bobicev team in DSL (Discriminating Similar Languages) shared task 2015. It describes the use of PPM (Prediction by Partial Matching) for language discrimination. The accuracy of the presented system was equal to 94.14% for the first set and 92.22% for the second set. The results were scored as the 4th for(More)
It has been shown that online health-related discussions significantly influence the attitudes and behavioral intentions of the discussion participants. Although empirical evidence strongly supports the importance of emotions in health-related online discussions, there are few studies of the relationship between a subjective language and online discussions(More)
The emergence of social media (networks, blogs, web forums) has given people numerous opportunities to share their personal stories, including details of their health. Although users mostly post under assumed nicknames, state-of-the-art text analysis techniques can combine texts from different media and use that linkage to identify private details of an(More)