Adaptation of sentiment analysis techniques to Persian language

Kia Dashtipour, Amir Hussain, Alexander Gelbukh

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

7 Citas (Scopus)

Resumen

© Springer Nature Switzerland AG 2018. 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 estadounidense
Título de la publicación alojadaAdaptation of sentiment analysis techniques to Persian language
Páginas129-140
Número de páginas114
ISBN (versión digital)9783319771151
DOI
EstadoPublicada - 1 ene 2018
EventoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duración: 1 ene 2019 → …

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

Conferencia

ConferenciaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Período1/01/19 → …

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    Dashtipour, K., Hussain, A., & Gelbukh, A. (2018). Adaptation of sentiment analysis techniques to Persian language. En Adaptation of sentiment analysis techniques to Persian language (pp. 129-140). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10762 LNCS). https://doi.org/10.1007/978-3-319-77116-8_10