Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1013
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dc.contributor.authorMulki, Hala-
dc.contributor.authorHaddad, Hatem-
dc.contributor.authorGridach, Mourad-
dc.contributor.authorBabaoglu, İsmail-
dc.date.accessioned2021-12-13T10:34:35Z-
dc.date.available2021-12-13T10:34:35Z-
dc.date.issued2019-
dc.identifier.isbn978-1-950737-32-1-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1013-
dc.description57th Annual Meeting of the Association-for-Computational-Linguistics (ACL) / 4th Arabic Natural Language Processing Workshop (WANLP) -- JUL 28-AUG 02, 2019 -- Florence, ITALYen_US
dc.description.abstractArabic sentiment analysis models have employed compositional embedding features to represent the Arabic dialectal content. These embeddings are usually composed via ordered, syntax-aware composition functions and learned within deep neural frameworks. With the free word order and the varying syntax nature across the different Arabic dialects, a sentiment analysis system developed for one dialect might not be efficient for the others. Here we present syntax-ignorant n-gram embeddings to be used in sentiment analysis of several Arabic dialects. The proposed embeddings were composed and learned using an unordered composition function and a shallow neural model. Five datasets of different dialects were used to evaluate the produced embeddings in the sentiment analysis task. The obtained results revealed that, our syntax-ignorant embeddings could outperform word2vec model and doc2vec both variant models in addition to hand-crafted system baselines, while a competent performance was noticed towards baseline systems that adopted more complicated neural architectures.en_US
dc.description.sponsorshipAssoc Computat Linguisten_US
dc.language.isoenen_US
dc.publisherASSOC COMPUTATIONAL LINGUISTICS-ACLen_US
dc.relation.ispartofFOURTH ARABIC NATURAL LANGUAGE PROCESSING WORKSHOP (WANLP 2019)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleSyntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialectsen_US
dc.typeConference Objecten_US
dc.identifier.scopus2-s2.0-85096607823en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.authoridhaddad, hatem/0000-0003-3599-7229-
dc.authorwosidhaddad, hatem/ABD-1530-2021-
dc.identifier.startpage30en_US
dc.identifier.endpage39en_US
dc.identifier.wosWOS:000530097400004en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextembargo_20300101-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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