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Roberta Akemi Sinoara
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2010 – 2019
- 2019
- [j4]Camila Vaccari Sundermann
, Marcos Aurélio Domingues
Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review. Inf. 10(2): 42 (2019) - [j3]Roberta Akemi Sinoara
Knowledge-enhanced document embeddings for text classification. Knowl. Based Syst. 163: 955-971 (2019) - [c5]Vítor Rodrigues Tonon, Cintia Carvalho Oliveira, Daniele Carvalho Oliveira, Alneu de Andrade Lopes, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini
Improving Recommendations by Using a Heterogeneous Network and User's Reviews. BRACIS 2019: 639-644 - [c4]Ricardo B. Scheicher, Roberta Akemi Sinoara
Sentiment classification improvement using semantically enriched information. DocEng 2019: 29:1-29:4 - 2017
- [j2]Roberta Akemi Sinoara
Text mining and semantics: a systematic mapping study. J. Braz. Comput. Soc. 23(1): 9:1-9:20 (2017) - [c3]Roberta Akemi Sinoara
Evaluation of latent dirichlet allocation for document organization in different levels of semantic complexity. SSCI 2017: 1-8 - 2016
- [c2]Roberta Akemi Sinoara
Semantic role-based representations in text classification. ICPR 2016: 2313-2318 - [i1]Conceição Rocha
PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese. CoRR abs/1612.09535 (2016) - 2014
- [c1]Roberta Akemi Sinoara
Named entities as privileged information for hierarchical text clustering. IDEAS 2014: 57-66
2000 – 2009
- 2006
- [j1]Roberta Akemi Sinoara, Solange Oliveira Rezende:
A methodology for identifying interesting association rules by combining objective and subjective measures. Inteligencia Artif. 10(32): 19-27 (2006)
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