Research Article
Towards Discovering the Sentiment Holder in Arabic Text
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 111 - Issue 16 |
| Published: February 2015 |
| Authors: Mohammed Dahab, Salma Al Asmari |
10.5120/19621-1301
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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 },
year = { 2015 },
volume = { 111 },
number = { 16 },
pages = { 12-18 },
doi = { 10.5120/19621-1301 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Mohammed Dahab
%A Salma Al Asmari
%T Towards Discovering the Sentiment Holder in Arabic Text%T
%J International Journal of Computer Applications
%V 111
%N 16
%P 12-18
%R 10.5120/19621-1301
%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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