PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words

Kia Dashtipour, Ali Raza, Alexander Gelbukh, Rui Zhang, Erik Cambria, Amir Hussain

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

13 Citas (Scopus)

Resumen

Sentiment analysis is probably the most actively growing area of natural language processing nowadays, which leverages huge amount of user-contributed data on Internet to improve income of businesses and quality of life of consumer. The majority of existent sentiment-analysis systems is focused on English, due to lack of resources and tools for other languages. To fill this gap for Persian language, in our previous work we have compiled the first version of PerSent Persian sentiment lexicon, which was small and included only words and phrases from general domain. In this paper, we present its extension with words from three different domains and evaluate its performance on polarity classification task using various machine learning-based classifiers. We use a multi-domain dataset to evaluate the performance of our new lexicon on various domains. Our results demonstrate usefulness of the new lexicon for analysis of product and movie reviews and especially of political news in Persian language.

Idioma originalInglés
Título de la publicación alojadaAdvances in Brain Inspired Cognitive Systems - 10th International Conference, BICS 2019, Proceedings
EditoresJinchang Ren, Amir Hussain, Huimin Zhao, Jun Cai, Rongjun Chen, Yinyin Xiao, Kaizhu Huang, Jiangbin Zheng
EditorialSpringer
Páginas497-509
Número de páginas13
ISBN (versión impresa)9783030394301
DOI
EstadoPublicada - 2020
Evento10th International Conference on Brain Inspired Cognitive Systems, BICS 2019 - Guangzhou, China
Duración: 13 jul. 201914 jul. 2019

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen11691 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia10th International Conference on Brain Inspired Cognitive Systems, BICS 2019
País/TerritorioChina
CiudadGuangzhou
Período13/07/1914/07/19

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