Arabic SentiWordNet in Relation to SentiWordNet 3.0

Samah Alhazmi; William Black; John McNaught

Arabic SentiWordNet in Relation to SentiWordNet 3.0

Samah Alhazmi, William Black, John McNaught

Research output: Contribution to journal › Article › peer-review

Abstract

Sentiment analysis and opinion mining are the tasks of identifying positive or negative opinions and emotions from pieces of text. The SentiWordNet (SWN) plays an important role in extracting opinions from texts. It is a publicly available sentiment measuring tool used in sentiment classification and opinion mining. We firstly discuss the development of the English SWN for versions 1.0 and 3.0. This is to provide the basis for developing an equivalent SWN for the Arabic language through a mapping to the latest version of the English SWN 3.0. We also discuss the construction of an annotated sentiment corpus for Arabic and its relationship to the Arabic SWN.

Original language	English
Pages (from-to)	1-11
Number of pages	11
Journal	International Journal of Computational Linguistics
Volume	4
Issue number	1
Publication status	Published - 30 Apr 2013

Keywords

Opinion Mining
Sentiment Analysis
WordNet
SentiWordNet
Arabic

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http://www.cscjournals.org/manuscript/Journals/IJCL/Volume4/Issue1/IJCL-51.pdfLicence: Other

Cite this

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title = "Arabic SentiWordNet in Relation to SentiWordNet 3.0",

abstract = "Sentiment analysis and opinion mining are the tasks of identifying positive or negative opinions and emotions from pieces of text. The SentiWordNet (SWN) plays an important role in extracting opinions from texts. It is a publicly available sentiment measuring tool used in sentiment classification and opinion mining. We firstly discuss the development of the English SWN for versions 1.0 and 3.0. This is to provide the basis for developing an equivalent SWN for the Arabic language through a mapping to the latest version of the English SWN 3.0. We also discuss the construction of an annotated sentiment corpus for Arabic and its relationship to the Arabic SWN.",

keywords = "Opinion Mining, Sentiment Analysis, WordNet, SentiWordNet, Arabic",

author = "Samah Alhazmi and William Black and John McNaught",

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AU - Alhazmi, Samah

AU - Black, William

AU - McNaught, John

N1 - This research was supported via a PhD scholarship from Saudi Cultural Bureau

PY - 2013/4/30

Y1 - 2013/4/30

N2 - Sentiment analysis and opinion mining are the tasks of identifying positive or negative opinions and emotions from pieces of text. The SentiWordNet (SWN) plays an important role in extracting opinions from texts. It is a publicly available sentiment measuring tool used in sentiment classification and opinion mining. We firstly discuss the development of the English SWN for versions 1.0 and 3.0. This is to provide the basis for developing an equivalent SWN for the Arabic language through a mapping to the latest version of the English SWN 3.0. We also discuss the construction of an annotated sentiment corpus for Arabic and its relationship to the Arabic SWN.

AB - Sentiment analysis and opinion mining are the tasks of identifying positive or negative opinions and emotions from pieces of text. The SentiWordNet (SWN) plays an important role in extracting opinions from texts. It is a publicly available sentiment measuring tool used in sentiment classification and opinion mining. We firstly discuss the development of the English SWN for versions 1.0 and 3.0. This is to provide the basis for developing an equivalent SWN for the Arabic language through a mapping to the latest version of the English SWN 3.0. We also discuss the construction of an annotated sentiment corpus for Arabic and its relationship to the Arabic SWN.

KW - Opinion Mining

KW - Sentiment Analysis

KW - WordNet

KW - SentiWordNet

KW - Arabic

M3 - Article

VL - 4

SP - 1

EP - 11

JO - International Journal of Computational Linguistics

JF - International Journal of Computational Linguistics

IS - 1

ER -

Arabic SentiWordNet in Relation to SentiWordNet 3.0

Abstract

Keywords

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