ANOTACIJA I DETEKCIJA NEGACIJE U KOMENTARIMA PROIZVODA
Ključne reči:
Mašinsko učenje, Negativne reči, Opseg negacije
Apstrakt
Rad je baziran na kreiranju sistema za anotaciju i detekciju negacije u komentarima razne vrste proizvoda na engleskom jeziku.
Reference
[1] W. W. Chapman, W. Bridewell, P. Hanbury, G. F. Cooper, and B. G. Buchanan, ‘‘A simple algorithm for identifying negated findings and diseases in discharge summaries,’’ J. Biomed. Informat., vol. 34, no. 5, 2001.
[2] P. D. Turney and M. L. Littman, ‘‘Unsupervised learning of semantic orientation from a hundred-billion-word corpus,’’ 2002. Доступно: https://arxiv.org/ftp/cs/papers/0212/0212012.pdf
[3] V. Vincze, G. Szarvas, R. Farkas, G. Móra, and J. Csirik, ‘‘The bioscope corpus: Biomedical texts annotated for uncertainty, negation and their scopes,’’ BMC Bioinf., vol. 9, no. 11, pp. 1–9, 2008.
[4] S. Sohn, S. Wu, and C. G. Chute, ‘‘Dependency parser-based negation detection in clinical narratives,’’ AMIA Summits Transl. Sci. Proc., vol. 2012, Oct. 2012.
[5] R. Morante and W. Daelemans, ‘‘Conandoyle-neg: Annotation of negation in conan doyle stories,’’ in Proc. 8th Int. Conf. Lang. Resour. Eval., Istanbul, Turkey, 2012.
[6] A. Hogenboom, P. van Iterson, B. Heerschop, F. Frasincar, and U. Kaymak, ‘‘Determining negation scope and strength in sentiment analysis,’’ in Proc. IEEE Int. Conf. Syst., Man, Cybern., Oct. 2011.
[7] I. Councill, R. McDonald, and L. Velikovich, ‘‘What’s great and what’s not: Learning to classify the scope of negation for improved sentiment analysis,’’ in Proc. Workshop Negation Speculation Natural Lang. Process., 2010.
[8] J. Reitan, J. Faret, B. Gambäck, and L. Bungum, ‘‘Negation scope detection for Twitter sentiment analysis,’’ in Proc. 6th Workshop Comput. Approaches Subjectivity, Sentiment Social Media Anal., 2015.
[9] M. Enger, E. Velldal, and L. Øvrelid, ‘‘An open-source tool for negation detection: A maximum-margin approach,’’ in Proc. Workshop Comput. Semantics Beyond Events Roles, 2017.
[10] M. Enger, ‘‘A portable toolkit for detecting negation,’’ in UiO:Department Of Informatics, 2016, pp.5-6.
[2] P. D. Turney and M. L. Littman, ‘‘Unsupervised learning of semantic orientation from a hundred-billion-word corpus,’’ 2002. Доступно: https://arxiv.org/ftp/cs/papers/0212/0212012.pdf
[3] V. Vincze, G. Szarvas, R. Farkas, G. Móra, and J. Csirik, ‘‘The bioscope corpus: Biomedical texts annotated for uncertainty, negation and their scopes,’’ BMC Bioinf., vol. 9, no. 11, pp. 1–9, 2008.
[4] S. Sohn, S. Wu, and C. G. Chute, ‘‘Dependency parser-based negation detection in clinical narratives,’’ AMIA Summits Transl. Sci. Proc., vol. 2012, Oct. 2012.
[5] R. Morante and W. Daelemans, ‘‘Conandoyle-neg: Annotation of negation in conan doyle stories,’’ in Proc. 8th Int. Conf. Lang. Resour. Eval., Istanbul, Turkey, 2012.
[6] A. Hogenboom, P. van Iterson, B. Heerschop, F. Frasincar, and U. Kaymak, ‘‘Determining negation scope and strength in sentiment analysis,’’ in Proc. IEEE Int. Conf. Syst., Man, Cybern., Oct. 2011.
[7] I. Councill, R. McDonald, and L. Velikovich, ‘‘What’s great and what’s not: Learning to classify the scope of negation for improved sentiment analysis,’’ in Proc. Workshop Negation Speculation Natural Lang. Process., 2010.
[8] J. Reitan, J. Faret, B. Gambäck, and L. Bungum, ‘‘Negation scope detection for Twitter sentiment analysis,’’ in Proc. 6th Workshop Comput. Approaches Subjectivity, Sentiment Social Media Anal., 2015.
[9] M. Enger, E. Velldal, and L. Øvrelid, ‘‘An open-source tool for negation detection: A maximum-margin approach,’’ in Proc. Workshop Comput. Semantics Beyond Events Roles, 2017.
[10] M. Enger, ‘‘A portable toolkit for detecting negation,’’ in UiO:Department Of Informatics, 2016, pp.5-6.
Objavljeno
2023-03-04
Sekcija
Elektrotehničko i računarsko inženjerstvo
