| Título |
Adaptation of sentiment analysis techniques to Persian language |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017 |
| Resumen |
In the recent years, people all around the world share their opinions about different fields with each other over Internet. Sentiment analysis techniques have been introduced to classify these rich data based on the polarity of the opinion. Sentiment analysis research has been growing rapidly; however, most of the research papers are focused on English. In this paper, we review English-based sentiment analysis approaches and discuss what adaption these approaches require to become applicable to the Persian language. The results show that approaches initially suggested for English language are competitive with those developed specifically for Persian sentiment analysis. © Springer Nature Switzerland AG 2018. |
| Observaciones |
DOI 10.1007/978-3-319-77116-8_10
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10762 |
| Lugar |
Budapest |
| País |
Hungria |
| No. de páginas |
129-140 |
| Vol. / Cap. |
10762 LNCS |
| Inicio |
2017-04-17 |
| Fin |
2017-04-23 |
| ISBN/ISSN |
9783319771151 |
