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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 39 1 MULDASA:Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media Alwakid, Ghadah; Osman, Taha; El-Haj, Mahmoud; Alanazi, Saad; Humayun, Mamoona; Us Sama, Najm. - 2022 Abstract: The semantically complicated Arabic natural vocabulary, and the shortage of available techniques and skills to capture Arabic emotions from text hinder Arabic sentiment analysis (ASA). Evaluating Arabic idioms that do not follow a conventional linguistic framework, such as contemporary standard Arabic (MSA), complicates an incredibly difficult procedure. Here, we define a novel lexical sentiment analysis approach for studying Arabic language tweets (TTs) from specialized digital media platforms. Many elements comprising emoji, intensifiers, negations, and other nonstandard expressions such as supplications, proverbs, and interjections are incorporated into the MULDASA algorithm to enhance the precision of opinion classifications. Root words in multidialectal sentiment LX are associated with emotions found in the content under study via a simple stemming procedure. Furthermore, a feature–sentiment correlation procedure is incorporated into the proposed technique to exclude viewpoints expressed that seem to be irrelevant to the area of concern. As part of our research into Saudi Arabian employability, we compiled a large sample of TTs in 6 different Arabic dialects. This research shows that this sentiment categorization method is useful, and that using all of the characteristics listed earlier improves the ability to accurately classify people’s feelings. The classification accuracy of the proposed algorithm improved from 83.84% to 89.80%. Our approach also outperformed two existing research projects that employed a lexical approach for the sentiment analysis of Saudi dialects URL: https://doi.org/10.3390/app12083806 https://eprints.lancs.ac.uk/id/eprint/168746/ https://eprints.lancs.ac.uk/id/eprint/168746/1/applsci_12_03806.pdf BASE Hide details 2 A Domain Based Approach to Semantic Lexicon Expansion Prentice, Sheryl; Rayson, Paul; Knight, Jo. - 2021 BASE Show details 3 Proceedings of the 3rd Financial Narrative Processing Workshop:FNP 2021 El-Haj, Mahmoud; Rayson, Paul; Zmandar, Nadhem. - : Association for Computational Linguistics (ACL Anthology), 2021 BASE Show details 4 The Financial Narrative Summarisation Shared Task FNS 2021 Zmandar, Nadhem; El-Haj, Mahmoud; Rayson, Paul. - : Association for Computational Linguistics (ACL Anthology), 2021 BASE Show details 5 Problematising Characteristicness:A Biomedical Association Case Study Prentice, Sheryl; Knight, Jo; Rayson, Paul. - 2021 BASE Show details 6 Multilingual Financial Word Embeddings for Arabic, English and French Zmandar, Nadhem; El-Haj, Mahmoud; Rayson, Paul. - 2021 BASE Show details 7 Financial Document Causality Detection Shared Task (FinCausal 2020) ... Mariko, Dominique; Akl, Hanna Abi; Labidurie, Estelle. - : arXiv, 2020 BASE Show details 8 The Financial Document Structure Extraction Shared task: FinToc2020 ... The 28th International Conference on Computational Linguistics 2020; Bentabet, Najah-Imane; El-Haj, Mahmoud. - : Underline Science Inc., 2020 BASE Show details 9 Financial Document Causality Detection Shared Task (FinCausal 2020) ... The 28th International Conference on Computational Linguistics 2020; Abi Akl, Hanna; de Mazancourt, Hugues. - : Underline Science Inc., 2020 BASE Show details 10 Who’s the Fairest of them All?:A Comparison of Methods for Classifying Tone and Attribution in Earnings-related Management Discourse Young, Steven; Walker, Martin; Athanasakou, Vasiliki. - 2020 BASE Show details 11 The Financial Document Structure Extraction Shared task (FinToc 2020) Bentabet, Najah-Imane; Juge, Rémi; El Maarouf, Ismail. - : COLING, 2020 BASE Show details 12 Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation El-Haj, Mahmoud; Rayson, Paul; Athanasakou, Vasiliki. - : Association for Computational Linguistics, 2020 BASE Show details 13 Proceedings of the Fifth Arabic Natural Language Processing Workshop Bouamor, Houda; Zaghouani, Wajdi. - : Association for Computational Linguistics, 2020 BASE Show details 14 The Financial Document Causality Detection Shared Task (FinCausal 2020) Mariko, Dominique; Abi-Akl, Hanna; Labidurie, Estelle. - : COLING, 2020 BASE Show details 15 Infrastructure for Semantic Annotation in the Genomics Domain El-Haj, Mahmoud; Rutherford, Nathan; Coole, Matthew. - : European Language Resources Association (ELRA), 2020 BASE Show details 16 Habibi - a multi Dialect multi National Arabic Song Lyrics Corpus El-Haj, Mahmoud. - : European Language Resources Association (ELRA), 2020 BASE Show details 17 Predicting modality in financial dialogue Stuckenschmidt, Heiner; Theil, Christoph Kilian. - : Association for Computational Linguistics, 2020 BASE Show details 18 AraWEAT: Multidimensional analysis of biases in Arabic word embeddings Lauscher, Anne; Takieddin, Rafik; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2020 BASE Show details 19 Proceedings of the Second Financial Narrative Processing Workshop (FNP 2019) El-Haj, Mahmoud; Rayson, Paul; Young, Steven. - : Association for Computational Linguistics, 2019 BASE Show details 20 Multilingual Financial Narrative Processing:Analysing Annual Reports in English, Spanish and Portuguese El Haj, Mahmoud; Rayson, Paul Edward; Young, Steven Eric. - : World Scientific Publishing, 2019 BASE Show details Page: 1 2

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