Sentiment Analysis: Arabic Sentiment Lexicons

被引：0

作者：

Sabra, Khaled S. i ^{[1
]}

Zantout, Rached N. ^{[1
]}

El Abed, Mohamad A. ^{[2
]}

Hamandi, Lama ^{[3
]}

机构：

[1] Rafik Hariri Univ, Elect & Comp Engn Dept, Mechref, Lebanon

[2] Rafik Hariri Univ, Comp & Informat Syst Dept, Mechref, Lebanon

[3] Amer Univ Beirut, Elect & Comp Engn Dept, Beirut, Lebanon

来源：

2017 SENSORS NETWORKS SMART AND EMERGING TECHNOLOGIES (SENSET) | 2017年

关键词：

Sentiment Analysis; Sentiment Lexicon; Arabic Language; Arabic Natural Language Processing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Sentiment Analysis is the process of identifying sentiment from text written in a natural language with respect to the entity it is referring to. Sentiment lexicons are used to perform this task. Several lexicons are available to perform this task in English using WordNet. In this paper, we present a new method to create a sentiment lexicon for the Arabic language using semi-supervised learning on the WordNet and matching them with an Arabic database.

引用

页数：4

共 10 条

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