2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) 2015
DOI: 10.1109/aeect.2015.7360595
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Enhancing the determination of aspect categories and their polarities in Arabic reviews using lexicon-based approaches

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Cited by 44 publications
(13 citation statements)
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“…The strong lexicon baseline splits the post into sentences or phrases by punctuation, finds the phrase that contains the predicted target, and returns positive if there are more positive words than negative words, and negative otherwise. These baselines are similar to the methods of previously published work for Arabic targeted sentiment Obaidat et al, 2015;Abu-Jbara et al, 2013).…”
Section: Methodsmentioning
confidence: 60%
“…The strong lexicon baseline splits the post into sentences or phrases by punctuation, finds the phrase that contains the predicted target, and returns positive if there are more positive words than negative words, and negative otherwise. These baselines are similar to the methods of previously published work for Arabic targeted sentiment Obaidat et al, 2015;Abu-Jbara et al, 2013).…”
Section: Methodsmentioning
confidence: 60%
“…The recent studies covered a small number of dialects such as Egyptian and Levantine [15] beside the formal language. Also, there are some studies to translate English lexicons to Arabic, but these studies suffer from poor coverage due to the different meaning of translated words [16] [9].…”
Section: A Arabic Language Challengesmentioning
confidence: 99%
“…While the OCA corpus [33] was used by [13] and [34]. The authors in [28] used the HAAD corpus which was produced by [35]. The HAAD [35] minimized and utilized LABR corpus [36].…”
Section: Corpora and Datasetsmentioning
confidence: 99%