Um Modelo para Análise de Sentimento baseado em Casos e Ontologia (A model for sentiment analysis based on ontology and cases)

Flavio Ceci (, Alexandre Leopoldo Gonçalves (, Rosina Weber (

1Universidade do Sul de Santa Catarina
2Universidade Federal de Santa Catarina
3Drexel University

This paper appears in: Revista IEEE América Latina

Publication Date: Nov. 2016
Volume: 14,   Issue: 11 
ISSN: 1548-0992

This work intends to combine domain ontology with natural language processing techniques to identify the sentiment behind judgments aiming to provide an explanation for such polarization. Also, it intends to use the Case-Based Reasoning strategy in order to learn from past reasonings (polarizations) so they can be used in new polarizations. Some steps have been developed for treatment of negation, adequacy of sentiment lexicon for a domain and adaptation of ambiguous terms classification based on past ratings. Tests were developed in two distinct areas, digital cameras and movies, to justify the model evolution until its final proposal. It was observed that the accuracy obtained by the proposed model overcomes standard statistical approaches. These results demonstrate that the model contributes to the sentiment analysis area, both as a solution that provides high levels of accuracy, as well as the possibility to present the track to achieve a particular classification.

Index Terms:
Sentiment Analysis, Ontology, Case-Based Reasoning, Inference, Sentiment Tree   

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