Revista: | Computación y sistemas |
Base de datos: | PERIÓDICA |
Número de sistema: | 000423266 |
ISSN: | 1405-5546 |
Autores: | Piryani, Rajesh1 Gupta, Vedika2 Singh, Vivek Kumar3 |
Instituciones: | 1South Asian University, Department of Computer Science, Nueva Delhi, Delhi. India 2National Institute of Technology Delhi, Department of Computer Science, Delhi, Haryana. India 3Banaras Hindu University, Department of Computer Science, Varanasi, Uttar Pradesh. India |
Año: | 2018 |
Periodo: | Ene-Mar |
Volumen: | 22 |
Número: | 1 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Aplicado, descriptivo |
Resumen en inglés | This paper presents an integrated framework to generate extractive aspect-based opinion summary from a large volume of free-form text reviews. The framework has three major components: (a) aspect identifier to determine the aspects in a given domain; (b) sentiment polarity detector for computing the sentiment polarity of opinion about an aspect; and (c) summary generator to generate opinion summary. The framework is evaluated on SemEval-2014 dataset and obtains better results than several other approaches |
Disciplinas: | Bibliotecología y ciencia de la información |
Palabras clave: | Análisis y sistematización de la información, Análisis de textos, Redes sociales, Análisis de opinión, Sentimientos, Big data |
Keyword: | Information analysis, Text analysis, Social networks, Opinion analysis, Feelings, Big data |
Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |