Adaptation of sentiment analysis techniques to Persian language

Kia Dashtipour, Amir Hussain, Alexander Gelbukh

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

11 Citas (Scopus)

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.

Idioma originalInglés
Título de la publicación alojadaComputational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers
EditoresAlexander Gelbukh
EditorialSpringer Verlag
Páginas129-140
Número de páginas12
ISBN (versión impresa)9783319771151
DOI
EstadoPublicada - 2018
Evento18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017 - Budapest, Hungría
Duración: 17 abr. 201723 abr. 2017

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10762 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017
País/TerritorioHungría
CiudadBudapest
Período17/04/1723/04/17

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