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Towards Discovering the Sentiment Holder in Arabic Text

by Mohammed Dahab, Salma Al Asmari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 16
Year of Publication: 2015
Authors: Mohammed Dahab, Salma Al Asmari
10.5120/19621-1301

Mohammed Dahab, Salma Al Asmari . Towards Discovering the Sentiment Holder in Arabic Text. International Journal of Computer Applications. 111, 16 ( February 2015), 12-18. DOI=10.5120/19621-1301

@article{ 10.5120/19621-1301,
author = { Mohammed Dahab, Salma Al Asmari },
title = { Towards Discovering the Sentiment Holder in Arabic Text },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 16 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number16/19621-1301/ },
doi = { 10.5120/19621-1301 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:03.498907+05:30
%A Mohammed Dahab
%A Salma Al Asmari
%T Towards Discovering the Sentiment Holder in Arabic Text
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 16
%P 12-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sentiment analysis is consider with extracting specific subjective information from reliable amounts of text. Sentiment analysis holder recognition is approach that has not been considered yet in Arabic Language. This approach essentially requires deep understanding of sentences structures. This paper presents survey for the sentiment analysis operations, classifications and summarization. And proposed sentiment holder Algorithm for extract the holder in Arabic sentences.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Sentiment analysis Holder Opinion mining Arabic.

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