Articole

Recent Submissions

  • MǍRǍNDUC, Cǎtǎlina; BOBICEV, Victoria; UNTILOV, Roman (IEEE, 2020)
    The paper describes the experiments of automatic parsing on a Romanian corpus that contains various types of Romanian texts. The corpus has morphological and syntactic annotations using the dependency grammar model. We ...
  • BOBICEV, Victoria; SOKOLOVA, Marina (Springer Nature Switzerland, 2015)
    In this study we propose a new method to classify sentiments in messages posted on online forums. Traditionally, sentiment classification relies on analysis of emotionally-charged words and discourse units found in the ...
  • BOBICEV, Victoria (Association for Computational Linguistics, 2013)
    This paper reports on our work in the NLI shared task 2013 on Native Language Identification. The task is to automatically detect the native language of the TOEFL essays authors in a set of given test documents in English. ...
  • BOBICEV, Victoria; SOKOLOVA, Marina; JAFER, Yasser; SCHRAMM, David (Springer Nature Switzerland, 2012)
    We present results of sentiment analysis in Twitter messages that disclose personal health information. In these messages (tweets), users discuss ailment, treatment, medications, etc. We use the author-centric annotation ...
  • SOKOLOVA, Marina; BOBICEV, Victoria (INCOMA Ltd., 2015)
    Our current work analyses relations between sentiments and activity of authors of online In-Vitro Fertilization forums. We focus on two types of active authors: those who start new discussions and those who post significantly ...
  • BOBICEV, Victoria; SOKOLOVA, Marina (INCOMA Ltd., 2017)
    Manual text annotation is an essential part of Big Text analytics. Although annotators work with limited parts of data sets, their results are extrapolated by automated text classification and affect the final classification ...
  • KANISHCHEVA, Olga; BOBICEV, Victoria (INCOMA Ltd., 2017)
    Today’s massive news streams demand the automate analysis which is provided by various online news explorers. However, most of them do not provide sentiment analysis. The main problem of sentiment analysis of news is the ...
  • BOBICEV, Victoria; SOKOL, Marina (Springer Nature Switzerland, 2017)
    Our current work studies sentiment representation in messages posted on health forums. We analyze 11 sentiment representations in a framework of multi-label learning. We use Exact Match and F-score to compare effectiveness ...
  • BOBICEV, Victoria (Association for Computational Linguistics, 2007)
    In this paper the comparison of two PPM (Prediction by Partial Matching) methods for automatic content-based text classification is described: on the basis of letters and on the basis of words. The investigation was driven ...
  • SOKOLOVA, Marina; BOBICEV, Victoria (Association for Computational Linguistics, 2009)
    This paper presents a machine learning study of affective words in Russian and Romanian languages. We tag the word affective meaning by one of the WordNet Affect six labels anger, disgust, fear, joy, sadness, surprise and ...
  • BOBICEV, Victoria; SOKOLOVA, Marina; EL EMAM, Khaled; JAFER, Yasser; DEWAR, Brian; JONKER, Elizabeth; MATWIN, Stan (JMIR Publications, 2013)
    The goal was to build a system that accurately attributes authorship of messages posted on medical forums. The Authorship Attributor system uses text analysis techniques to crawl medical forums and automatically correlate ...
  • ADOUANE, Wafia; SEMMAR, Nasredine; JOHANSSON, Richard; BOBICEV, Victoria (The COLING 2016 Organizing Committee, 2016)
    Automatic Language Identification (ALI) is the detection of the natural language of an input text by a machine. It is the first necessary step to do any language-dependent natural language processing task. Various methods ...
  • BOBICEV, Victoria (CEUR, 2013)
    This paper reports on our work in the PAN 2013 author identification task. The task is to automatically detect the author of the given text having small training sets with known authors. The task was solved by a system ...
  • BOBICEV, Victoria; SOKOLOVA, Marina; EL EMAM, Khaled; MATWIN, Stan (INCOMA Ltd. Shoumen, Bulgaria, 2013)
    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, ...
  • BOBICEV, Victoria; SOKOLOVA, Marina (The AAAI Press, Menlo Park, California, 2008)
    Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this work we use prediction by partial matching ...
  • ZIDRAŞCO, Tatiana; SHIRAMATSU, Shun; BOBICEV, Victoria; OZONO, Tadachika; SHINTANI, Toramatsu (Association for Computational Linguistics, 2011)
    Consensus is the desired result in many argumentative discourses such as negotiations, public debates, and goal-oriented forums. However, due to the fact that usually people are poor arguers, a support of argumentation is ...
  • BOSTAN, Viorel; SECRIERU, Nicolae; ILCO, Valentin; MELNIC, Vladimir; MARTINIUC, Alexei; VARZARU, Vlad (IEEE, 2020)
    This paper presents a brief overview of the first Moldavian satellite – TUMnanoSAT designed at the Technical University of Moldova Space Technology Center, included in KiboCube Program. In the paper are described educational ...
  • BOSTAN, Viorel; HAN, Weimin (International Press of Boston, 2004)
    In this paper, we present and analyze gradient recovery type a posteriori error estimates for the finite element approximation of elliptic variational inequalities of the second kind. Both reliability and efficiency of the ...
  • BOSTAN, Viorel (Universitaria, 2011)
    A new design and functional concept of a hydraulic flow turbine with vertical axis and individualized orientation of the hydrodynamic blades were proposed and elaborated. In order to maximize the flowing water energy ...
  • BOSTAN, V.; GUŢU, M.; RABEI, I. (IOP Publishing, 2018)
    This paper describes the design of a CFD model based on the finite element analysis, used for determining the performance of a vertical axis wind turbine. The validation of the proposed model is done by simulating a real ...

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