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Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English ...
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A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect
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A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect
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ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages
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Abstract:
The file attached to this record is the author's final peer reviewed version. ; A corpus-based sentiment analysis approach for messages written in Arabic and its dialects is presented and implemented. The originality of this approach resides in the automation construction of the annotated sentiment corpus, which relies mainly on a sentiment lexicon that is also constructed automatically. For the classification step, shallow and deep classifiers are used with features being extracted applying word embedding models. For the validation of the constructed corpus, we proceed with a manual reviewing and it was found that 85.17% were correctly annotated. This approach is applied on the under-resourced Algerian dialect and the approach is tested on two external test corpora presented in the literature. The obtained results are very encouraging with an F1-score that is up to 88% (on the first test corpus) and up to 81% (on the second test corpus). These results respectively represent a 20% and a 6% improvement, respectively, when compared with existing work in the research literature.
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Keyword:
Arabic and its dialects; Arabic sentiment analysis; Automatic resources construction; document embedding; shallow/deep classification; word embedding
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URL: https://doi.org/10.1007/s13278-020-00688-x
https://dora.dmu.ac.uk/handle/2086/20047
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Approche Hybride pour la translitération de l’arabizi algérien : une étude préliminaire
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In: 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-01837234 ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), May 2018, Rennes, France (2018)
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Hybrid approach for transliteration of Algerian arabizi: a primary study ...
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SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis
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SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis ...
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Comparison between Neural and Statistical translation after transliteration of Algerian Arabic Dialect
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In: WiNLP: Women & Underrepresented Minorities in Natural Language Processing (co-located withACL 2017) ; https://hal.archives-ouvertes.fr/hal-01570298 ; WiNLP: Women & Underrepresented Minorities in Natural Language Processing (co-located withACL 2017), Jul 2017, Vancouver, Canada ; http://www.winlp.org/winlp-workshop (2017)
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ASDA : Analyseur Syntaxique du Dialecte Alg{é}rien dans un but d'analyse s{é}mantique ...
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ASDA : Analyseur Syntaxique du Dialecte Algérien dans un but d'analyse sémantique
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In: Conférence Nationale d'Intelligence Artificielle 2016 ; RFIA-RJCIA 2016 ; https://hal.archives-ouvertes.fr/hal-01568923 ; RFIA-RJCIA 2016, Association Française pour l'Intelligence Artificielle, Jun 2016, Clermont ferrand, France ; afia.asso.fr/wp-content/uploads/2017/04/2016-CNIA-Web.pdf (2016)
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Réconciliation d'alignements multilingues dans BioPortal
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In: 27es Journées francophones d'Ingénierie des Connaissances ; IC: Ingénierie des Connaissances ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01395900 ; IC: Ingénierie des Connaissances, Jun 2016, Montpellier, France ; https://ic2016.sciencesconf.org/ (2016)
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Multilingual Mapping Reconciliation between English-French Biomedical Ontologies
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In: 6th International Conference on Web Intelligence, Mining and Semantics ; WIMS: Web Intelligence, Mining and Semantics ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01395880 ; WIMS: Web Intelligence, Mining and Semantics, Jun 2016, Nîmes, France. ⟨10.1145/2912845.2912847⟩ ; http://wims2016.mines-ales.fr/ (2016)
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