Gotowe bibliografie tematyczne / Classification of arabic poems

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  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji

Gotowa bibliografia na temat „Classification of arabic poems”

Autor: Grafiati
Data publikacji: 4 czerwca 2025
Data aktualizacji: 1 sierpnia 2025

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Artykuły w czasopismach na temat "Classification of arabic poems"

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Munef, Abdullah Ahmed, Abdulkareem Hasan Raed, Hussein Ali Ahmed, and Abdulghafoor Mohammed Mostafa. "The classification of the modern arabic poetry using machine learning." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 5 (2019): 2667–74. https://doi.org/10.12928/TELKOMNIKA.v17i5.12646.

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In recent years, working on text classification and analysis of Arabic texts using machine learning has seen some progress, but most of this research has not focused on Arabic poetry. Because of some difficulties in the analysis of Arabic poetry, it was required the use of standard Arabic language on which “Al Arud”, the science of studying poetry is based. This paper presents an approach that uses machine learning for the classification of modern Arabic poetry into four types: love poems, Islamic poems, social poems, and political poems. Each of these species usually has features
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Shahriar, Sakib, Noora Al Roken, and Imran Zualkernan. "Classification of Arabic Poetry Emotions Using Deep Learning." Computers 12, no. 5 (2023): 89. http://dx.doi.org/10.3390/computers12050089.

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The automatic classification of poems into various categories, such as by author or era, is an interesting problem. However, most current work categorizing Arabic poems into eras or emotions has utilized traditional feature engineering and machine learning approaches. This paper explores deep learning methods to classify Arabic poems into emotional categories. A new labeled poem emotion dataset was developed, containing 9452 poems with emotional labels of joy, sadness, and love. Various deep learning models were trained on this dataset. The results show that traditional deep learning models, s
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Muyassarah and Jaenafil Abadi. "Klasifikasi Puisi Arab Jahiliyah Menurut Ibn Qutaybah dalam Kitab al-Shi'r wa-al-Shu‘arā’." Al-Ma‘rifah 18, no. 1 (2021): 77–86. http://dx.doi.org/10.21009/almakrifah.18.01.07.

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This research discusses the classification of Arabic poem (shi‘r) of the pre-Islamic period (Jahilīyah) in the book of al-Shi‘r wa-al-Shu‘arā’ by Abū Muḥammad ‘Abdullāh ibn Muslim ibn Qutaybah. In this research, we review in simple terms the classification of poems based on the quality of lafaẓ and meaning, the quality of lafaẓ, the quality of meaning, and the quality of limited lafaẓ and meaning a literary work, especially in the poem (shi‘r) as described in the book of al-Shi‘r wa-al-Shu‘arā’. Through the poem, the Arabic poet of Jahilī expresses his feelings through the poem he creates. The
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Al-shaibani, Maged S., Zaid Alyafeai, and Irfan Ahmad. "Meter classification of Arabic poems using deep bidirectional recurrent neural networks." Pattern Recognition Letters 136 (August 2020): 1–7. http://dx.doi.org/10.1016/j.patrec.2020.05.028.

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Ali, Mohammed Saeed Bozaid. "CULTURE-SPECIFIC ITEMS AND THEIR TRANSLATION FROM ARABIC INTO ENGLISH IN ABDULAZIZ AL-MAQALEH'S POEMS." Electronic Journal of University of Aden for Humanity and Social Sciences 5, no. 1 (2024): 82–93. http://dx.doi.org/10.47372/ejua-hs.2024.1.343.

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Translating culture is presently one of the most challenges in the field of translation studies. The most noticeable arguments of variance between languages arise in their culture-specific items (CSIs) composing serious difficulties in translation. This study explores CSIs and their translation procedures from Arabic into English in Abdulaziz Al-Maqaleh's poetic collection ′the Book of Sana’a′. The theoretical framework deals with poetry translation, classification of cultural categories, and procedures for translating CSIs. The researcher collected data from selected poems and compared them w
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Sanni, Amidu. "Again on taḍmīn in Arabic theoretical discourse". Bulletin of the School of Oriental and African Studies 61, № 1 (1998): 1–19. http://dx.doi.org/10.1017/s0041977x0001572x.

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In my earlier examination of the phenomenon of taḍmīn in Arabic poetry, I attempted to show how it evolved from the status of a defect into a poetic device. But I could not at that time offer any explanation that would reasonably account for this development. Moreover, I have come to realize that my treatment of the term as referring to those instances where the full meaning of an idea started in one line emerges only in the succeeding line(s), viz. enjamb-ment, did not adequately account for its subtleties; and, more importantly, it ignored other phenomena which are also subsumed under the te
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Allam, Ahmed. "Combining the two prizes in a house with one narration, a grammatical, morphological, and semantic Study." Journal of Umm Al-Qura University for Language Sciences and Literature, no. 28 (August 1, 2021): 93–164. http://dx.doi.org/10.54940/ll98384757.

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This research, entitled (Combining the Two Prizes in a House with One Novel Syntactic Morphological Study) is an attempt to find out a linguistic phenomenon mentioned in our poetic heritage, and I wanted it to study its images, reasons, and motives for it with the arrangement of what was mentioned and its classification grammatically, morphologically and semantically, and the phenomenon of collecting the poet came between The winners in a house with a single novel are scattered in the stomachs of books and references, without collecting their scattered or surveying their pictures. I intended t
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Tariq, Nida, Iqra Ijaz, Muhammad Kamran Malik, Zubair Malik, and Faisal Bukhari. "Identification of Urdu Ghazal Poets using SVM." Mehran University Research Journal of Engineering and Technology 38, no. 4 (2020): 935–44. http://dx.doi.org/10.22581/muet1982.1904.07.

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Urdu literature has a rich tradition of poetry, with many forms, one of which is Ghazal. Urdu poetry structures are mainly of Arabic origin. It has complex and different sentence structure compared to our daily language which makes it hard to classify. Our research is focused on the identification of poets if given with ghazals as input. Previously, no one has done this type of work. Two main factors which help categorize and classify a given text are the contents and writing style. Urdu poets like Mirza Ghalib, Mir Taqi Mir, Iqbal and many others have a different writing style and the topic o
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Rizzo, Luca. "The Use of Islamic Legal Discourse in Literature: How Did Premodern Arab Critics Classify and Analyze Legal Intertextuality?" Asiatische Studien - Études Asiatiques 78, no. 3 (2024): 469–508. http://dx.doi.org/10.1515/asia-2023-0023.

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Abstract This essay investigates the use of Islamic legal discourse in literary works and the characteristics that this type of intertextuality develops in premodern Arabic literature. Starting with the theoretical classification of legal intertextuality found in works of rhetoric and literary criticism, I analyze ten poetic examples in order to shed light on how legal intertextuality is used by poets to both develop the argumentation within a text and achieve aesthetic goals. Specifically, I analyze two figures of speech that are used to create this intertextuality: Iqtibās, the definition of
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Dikmonienė, Jovita. "Anagnorisis in Aristotle’s Poetics: problems of definition and classification." Literatūra 61, no. 3 (2019): 32–41. http://dx.doi.org/10.15388/litera.2019.3.3.

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The article analyses the problems of meaning and classification of the term anagnorisis (ἀναγνώρισις) as it is defined in Aristotle’s Poetics. It focuses on how the term anagnorisis is understood and interpreted by scholars – different translations and their interpretations of the same type of anagnorisis are compared. The article also searches for the answers to the following questions: does the term of anagnorisis discussed by Aristotle mean the recognition of persons or just any kind of truth in a drama; why do some translators differentiate five and others six types of anagnorisis; what di
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Rozprawy doktorskie na temat "Classification of arabic poems"

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Al-Nashashibi, May Yacoub Adib. "Arabic language processing for text classification : contributions to Arabic root extraction techniques, building an Arabic corpus, and to Arabic text classification techniques." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/6326.

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The impact and dynamics of Internet-based resources for Arabic-speaking users is increasing in significance, depth and breadth at highest pace than ever, and thus requires updated mechanisms for computational processing of Arabic texts. Arabic is a complex language and as such requires in depth investigation for analysis and improvement of available automatic processing techniques such as root extraction methods or text classification techniques, and for developing text collections that are already labeled, whether with single or multiple labels. This thesis proposes new ideas and methods to i
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Al-Nashashibi, May Y. A. "Arabic Language Processing for Text Classification. Contributions to Arabic Root Extraction Techniques, Building An Arabic Corpus, and to Arabic Text Classification Techniques." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/6326.

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The impact and dynamics of Internet-based resources for Arabic-speaking users is increasing in significance, depth and breadth at highest pace than ever, and thus requires updated mechanisms for computational processing of Arabic texts. Arabic is a complex language and as such requires in depth investigation for analysis and improvement of available automatic processing techniques such as root extraction methods or text classification techniques, and for developing text collections that are already labeled, whether with single or multiple labels. This thesis proposes new ideas and methods to
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Karim, Uosef I. M. "Lexical cohesion in Arabic poetry : a case study of Al Mutanabbi's poems." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/22400/.

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The present study applies one branch of linguistics, namely discourse analysis, it examines The lexical cohesion and it is impact on meaning and the cohesion of the text. It particularly analyzes the Arabic poetry through poetic samples by Al Mutanabbi. The study examines selected samples of Al Mutanabbi's poetry. These samples are including four poetic genres, namely, panegyric, elegy, glory, and satire. The study develops a framework drawing on Drawing on Halliday and Hassan's framework, the newly developed framework would allow researchers to consider other aspects as tale-head, and homeopo
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Chantar, Hamouda Khalifa Hamouda. "New techniques for Arabic document classification." Thesis, Heriot-Watt University, 2013. http://hdl.handle.net/10399/2669.

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Text classification (TC) concerns automatically assigning a class (category) label to a text document, and has increasingly many applications, particularly in the domain of organizing, for browsing in large document collections. It is typically achieved via machine learning, where a model is built on the basis of a typically large collection of document features. Feature selection is critical in this process, since there are typically several thousand potential features (distinct words or terms). In text classification, feature selection aims to improve the computational e ciency and classific
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Baldi, Sergio. "Ancient and New Arabic Loans in Chadic." Universität Leipzig, 1999. https://ul.qucosa.de/id/qucosa%3A32906.

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This paper illustrates the diffusion of Arabic loans among those Chadic languages for which it was possible to collect material through dictionaries and other sources. It is the first survey in Chadic languages on this topic, besides Hausa.
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Alsaad, Amal. "Enhanced root extraction and document classification algorithm for Arabic text." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13510.

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Many text extraction and classification systems have been developed for English and other international languages; most of the languages are based on Roman letters. However, Arabic language is one of the difficult languages which have special rules and morphology. Not many systems have been developed for Arabic text categorization. Arabic language is one of the Semitic languages with morphology that is more complicated than English. Due to its complex morphology, there is a need for pre-processing routines to extract the roots of the words then classify them according to the group of acts or m
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Al, Salem Mohd Nour. "The translation of metaphor from Arabic to English in selected poems of Mahmoud Darwish with a focus on linguistic issues." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/7703/.

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The translation of Arabic literature into English is a wide field of study. The present study focuses only on one aspect - the translation of metaphor in selected poems of Mahmoud Darwish. Arabic is widely known as a strongly metaphorical language, and Darwish’s poems as part of Arabic literature hold many embedded meanings and metaphors that play a major role in building up their artistic flavour. In many translations of Arabic poems, metaphors and other figures of speech are mistranslated and, consequently, misunderstood by target text (TT) readers. This affects the meaning, form, imagery an
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Alhazmi, Samah. "Linking Arabic social media based on similarity and sentiment." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/linking-arabic-social-media-based-on-similarity-and-sentiment(04288028-707c-46f2-a028-8ee3066dfa89).html.

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A large proportion of World Wide Web (WWW) users treat it as a social medium, i.e. many of them use the WWW to express and communicate their opinions. Economic value or utility can be created if these utterances, reactions, or feedback are extracted from various social media platforms and their content analysed. Some of these benefits are related to e-commerce, marketing, product improvements, improving machine learning algorithms etc. Moreover, establishing links between different social media platforms, based on shared topics and content, could provide access to the comments of users of diff
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Maliki, Makki Jasim Radhi. "Biometrics writer recognition for Arabic language : analysis and classification techniques using subwords features." Thesis, University of Buckingham, 2015. http://bear.buckingham.ac.uk/102/.

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Handwritten text in any language is believed to convey a great deal of information about writers’ personality and identity. Indeed, handwritten signature has long been accepted as an authentication of the writer’s physical stamp on financial and legal deals as well official/personal documents and works of art. Handwritten documents are frequently used as evidences in forensic tasks. Handwriting skills is learnt and developed from the early schooling stages. Research interest in behavioral biometrics was the main driving force behind the growth in research into Writer Identification (WI) from h
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Al-Liabi, Majda Majeed. "Computational support for learners of Arabic." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/computational-support-for-learners-of-arabic(abd20b76-3ba2-4e11-8aa5-459ec6d8d7d2).html.

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This thesis documents the use of Natural Language Processing (NLP) in Computer Assisted Language Learning (CALL) and its contribution to the learning experience of students studying Arabic as a foreign language. The goal of this project is to build an Intelligent Computer Assisted Language Learning (ICALL) system that provides computational assistance to learners of Arabic by teaching grammar, producing homework and issuing students with immediate feedback. To produce this system we use the Parasite system, which produces morphological, syntactic and semantic analysis of textual input, and ext
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Książki na temat "Classification of arabic poems"

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Salah, Trish. Wanting in Arabic: Poems. TSAR Publications, 2002.

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S, Pound Omar, ed. Arabic and Persian poems. National Poetry Foundation, 1986.

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Sukayk, Ibrāhīm Khalīl. 50 English poems translated into Arabic. [s.n.], 1987.

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Khālidī, Qāsim Muḥammad Maḥmūd. al- Lughah al-ʻArabīyah wa-al-adab al-ʻArabī fī Taṣnīf Maktabat al-Kūnghiris. Wizārat al-Thaqāfah, 1990.

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Yāsīn, Muḥammad Ḥusayn Āl. Aphrodite: Selected poems. The Arab Institute for Research and Publishing, 2012.

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Ṣāʾigh, ʻAdnān. Nashīd Ūrūk, aw hadhayānāt dākhil jumjumah zarqāʾ lā ʻalāqah li-ʻAdnān al-Ṣāʾigh bihā: Qaṣīdah ṭawīlah. Dār Amwāj, 1996.

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Khaled, Mattawa, ed. Adonis: Selected poems. Yale University Press, 2010.

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Rimbaud, Arthur. Selected poems and letters. Penguin Books, 2004.

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Trabilsy, Najeh A. Ultimate poems in English, French, German, and Arabic. Trafford Pub., 2007.

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Trabilsy, Najeh A. Ultimate poems in English, French, German, and Arabic. Trafford Pub., 2007.

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Części książek na temat "Classification of arabic poems"

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Abbas, Mourad, Mohamed Lichouri, and Ahmed Zeggada. "Classification of Arabic Poems: from the $$5^{th}$$ to the $$15^{th}$$ Century." In New Trends in Image Analysis and Processing – ICIAP 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30754-7_18.

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Eisele, John C. "Aspectual Classification of Verbs in Cairene Arabic." In Perspectives on Arabic Linguistics. John Benjamins Publishing Company, 1990. http://dx.doi.org/10.1075/cilt.72.12eis.

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Algburi, Mohammed Abbas, Aida Mustapha, Salama A. Mostafa, and Mohd Zainuri Saringatb. "Comparative Analysis for Arabic Sentiment Classification." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38752-5_22.

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Nehar, Attia, Djelloul Ziadi, and Hadda Cherroun. "Rational Kernels for Arabic Text Classification." In Statistical Language and Speech Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39593-2_16.

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Mashaabi, Malak, Ghadi Al-Yahya, Raghad Alnashwan, and Hend Al-Khalifa. "Arabic Privacy Policy Corpus and Classification." In Natural Language Processing and Information Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35320-8_7.

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Mubarak, Hamdy, and Kareem Darwish. "Arabic Offensive Language Classification on Twitter." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34971-4_18.

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Dagher, Iman, and Denise Soufi. "Authority Control of Arabic Personal Names: RDA and Beyond." In Cataloging and Classification. Routledge, 2021. http://dx.doi.org/10.4324/9781003211785-12.

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Boukil, Samir, Fatiha El Adnani, Abd Elmajid El Moutaouakkil, Loubna Cherrat, and Mostafa Ezziyyani. "Arabic Stemming Techniques as Feature Extraction Applied in Arabic Text Classification." In Lecture Notes in Networks and Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69137-4_31.

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Elfahm, Youssef, Badia Mounir, Ilham Mounir, Laila Elmaazouzi, and Abdelmajid Farchi. "Recognition and Classification of Arabic Fricative Consonants." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76357-6_8.

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Mostafa, Mohamed A., Muhammad Al-Qurishi, and Hassan I. Mathkour. "Towards Personality Classification Through Arabic Handwriting Analysis." In Research & Innovation Forum 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30809-4_51.

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Streszczenia konferencji na temat "Classification of arabic poems"

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Ba Alawi, Abdulfattah E., Ferhat Bozkurt, and Mete Yağanoğlu. "BERT-AraPeotry: BERT-based Arabic Poems Classification Model." In 2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA). IEEE, 2024. http://dx.doi.org/10.1109/esmarta62850.2024.10638967.

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Al-Dulaimi, Ahmed, Hala Adnan Fadel, and Maryam K. Hasan. "Ultimate Arabic News Dataset: A New Efficient Dataset for Arabic Text Classification." In 2024 10th International Engineering Conference on Advances in Computer and Civil Engineering (IEC). IEEE, 2024. https://doi.org/10.1109/iec61018.2024.11063800.

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Sagar, Preety, and Jatinderkumar R. Saini. "Optimizing Threshold Parameters in NLP-based Classification of Koshur Devnagari Scripted Poems." In 2024 5th International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2024. http://dx.doi.org/10.1109/icosec61587.2024.10722603.

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Ferhat, Zeyd, Abir Betka, Riyadh Barka, et al. "Functional Text Dimensions for Arabic Text Classification." In Proceedings of The Second Arabic Natural Language Processing Conference. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.arabicnlp-1.29.

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Rayhanuzzaman, Tanjim Mahmud, Utpol Kanti Das, Sultana Rokeya Naher, Mohammad Shahadat Hossain, and Karl Andersson. "Investigating the Effectiveness of Deep Learning and Machine Learning for Bangla Poems Genre Classification." In 2024 4th International Conference on Intelligent Technologies (CONIT). IEEE, 2024. http://dx.doi.org/10.1109/conit61985.2024.10627555.

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Bouchiha, Djelloul, Abdelghani Bouziane, Noureddine Doumi, et al. "WiHArD: Wikipedia Based Hierarchical Arabic Dataset for Text Classification." In 2024 4th International Conference on Embedded & Distributed Systems (EDiS). IEEE, 2024. https://doi.org/10.1109/edis63605.2024.10783418.

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Zraqou, Jamal, Murad Zeer, and Marwan Sabateen. "Advanced Deep Learning Techniques for Arabic Handwritten Digit Classification." In 2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA). IEEE, 2025. https://doi.org/10.1109/icciaa65327.2025.11013579.

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Alshahrani, Norah, Saied Alshahrani, Esma Wali, and Jeanna Matthews. "Arabic Synonym BERT-based Adversarial Examples for Text Classification." In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop. Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.eacl-srw.10.

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Albaddawi, Mohammad M., and Gheith A. Abandah. "Pattern and Poet Recognition of Arabic Poems Using BiLSTM Networks." In 2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT). IEEE, 2021. http://dx.doi.org/10.1109/jeeit53412.2021.9634098.

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Rahgozar, Arya, and Diana Inkpen. "Bilingual Chronological Classification of Hafez's Poems." In Proceedings of the Fifth Workshop on Computational Linguistics for Literature. Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-0207.

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