CISUC

Assigning Polarity Automatically to the Synsets of a Wordnet-like Resource

Authors



Keywords

sentiment analysis, opinion mining, polarity lexicons, automatically

Subject

Natural Language Processing

Related Project

Onto.PT

Conference

3rd Symposium on Languages, Applications and Technologies (SLATE 2014), June 2014

DOI


Cited by

Year 2016 : 2 citations

 Avanço, L. V., Brum, H. B., and Nunes, M. G. V. (2016). Improving opinion classifiers by combining different methods and resources. In XIII Encontro Nacional de Inteligncia Artificial e Computacional, pages 25–36.

 Vieira, R., do Amaral, D., Collovini, S., Fonseca, E., Freitas, A., Freitas, L., Granada, R., Hilgert, L., Lopes, L., Schmidt, D., Severo, B., Souza, M., and Trojahn, C. (2016). Language resources for information extraction and semantic computing - NLP at PUCRS. In Proceedings Corpora and Tools for Processing Corpora at PROPOR 2016, pages 17–25.

Year 2015 : 3 citations

 Freitas, L. and Vieira, R. (2015). Exploring resources for sentiment analysis in portuguese language. In Proceedings of 2015 Brazilian Conference on Intelligent Systems, BRACIS, pages 152–156, Natal, RN, Brasil.

 Paula Carvalho e Mário J. Silva. Sentilex-PT: principais características e potencialidades. In Simões, A., Barreiro, A., Santos, D., Sousa-Silva, R., and Tagnin, S. E. O., editors, Linguística, Informática e Tradução: Mundos que se Cruzam, volume 7(1) of OSLa: Oslo Studies in Language, pages 425–438. University of Oslo.

 Larissa A. de Freitas (2015). Feature-Level Sentiment Analysis Applied to Brazilian Portuguese Reviews. PhD thesis, Pontifícia Universidade Católica do Rio Grande do Sul.