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1
Sentiment Analysis of Arabic Documents
In: Natural Language Processing for Global and Local Business ; https://hal.archives-ouvertes.fr/hal-03124729 ; Fatih Pinarbasi; M. Nurdan Taskiran. Natural Language Processing for Global and Local Business, pp.307-331, 2021, 9781799842408. ⟨10.4018/978-1-7998-4240-8.ch013⟩ ; https://www.igi-global.com/ (2021)
Abstract: International audience ; Today, it is usual that a consumer seeks for others' feelings about their purchasing experience on the web before a simple decision of buying a product or a service. Sentiment analysis intends to help people in taking profit from the available opinionated texts on the web for their decision making, and business is one of its challenging areas. Considerable work of sentiment analysis has been achieved in English and other Indo-European languages. Despite the important number of Arabic speakers and internet users, studies in Arabic sentiment analysis are still insufficient. The current chapter vocation is to give the main challenges of Arabic sentiment together with their recent proposed solutions in the literature. The chapter flowchart is presented in a novel manner that obtains the main challenges from presented literature works. Then it gives the proposed solutions for each challenge. The chapter reaches the finding that the future tendency will be toward rule-based techniques and deep learning, allowing for more dealings with Arabic language inherent characteristics.
Keyword: [INFO.EIAH]Computer Science [cs]/Technology for Human Learning; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]; [INFO.INFO-MC]Computer Science [cs]/Mobile Computing; [INFO.INFO-WB]Computer Science [cs]/Web; Arabic Language; Arabic NER; Arabizi; Corpus-based; Lexicon-based; NLP; Opinion Mining; Opinion Spam; Sentiment Analysis; Transliteration
URL: https://hal.archives-ouvertes.fr/hal-03124729
https://doi.org/10.4018/978-1-7998-4240-8.ch013
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2
An Enhanced Corpus for Arabic Newspapers Comments ...
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3
An Enhanced Corpus for Arabic Newspapers Comments
In: ISSN: 1683-3198 ; International Arab Journal of Information Technology ; https://hal.archives-ouvertes.fr/hal-03124728 ; International Arab Journal of Information Technology, Colleges of Computing and Information Society (CCIS), 2020, 17 (5), pp.789-798. ⟨10.34028/iajit/17/5/12⟩ (2020)
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4
Contribution at study and automatic recognition of speech in standard arabic ; Contribution à l'étude et à la reconnaissance automatique de la parole en Arabe standard
Djoudi, Mahieddine. - : HAL CCSD, 1991
In: https://hal.univ-lorraine.fr/tel-01747875 ; Informatique [cs]. Université Henri Poincaré - Nancy 1, 1991. Français. ⟨NNT : 1991NAN10395⟩ (1991)
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5
Contribution à l'étude et à la reconnaissance automatique de la parole en Arabe standard ; Contribution at study and automatic recognition of speech in standard arabic
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6
An Authoring System for Editing Lessons in Phonetic English in SMIL3.0
In: http://www.ijcsi.org/papers/IJCSI-8-6-3-275-280.pdf
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