Analysis of Aspect Extraction Methods in Regular Opinions
This work presents a comparative analysis between the main approaches used at the task of Extraction of Aspects in reports about products and services on web sites. Adaptations of four methods of extraction of aspects were implemented and evaluated using two distinct Corpora, one in Portuguese and a...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Brasil |
| Institución: | Sociedade Brasileira de Computação (SBC) |
| Repositorio: | Brazilian Journal of Information Systems |
| Idioma: | portugués |
| OAI Identifier: | oai:journals-sol.sbc.org.br:article/796 |
| Acceso en línea: | https://journals-sol.sbc.org.br/index.php/isys/article/view/796 |
| Access Level: | acceso abierto |
| Palabra clave: | Opinion Mining Sentiment Analysis Aspect Extraction Mineração de Opinião Análise de Sentimentos Extração de Aspectos |
| Sumario: | This work presents a comparative analysis between the main approaches used at the task of Extraction of Aspects in reports about products and services on web sites. Adaptations of four methods of extraction of aspects were implemented and evaluated using two distinct Corpora, one in Portuguese and another in English. On the experiments performed it was observed that the approach using supervised learning (convolutional neural networks) obtained better results on the others. |
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