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Arabic Text Classification: A Literature Review 阿拉伯语文本分类:文献综述
2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-11-01 DOI: 10.1109/AICCSA53542.2021.9686874
Bilel Elayeb
{"title":"Arabic Text Classification: A Literature Review","authors":"Bilel Elayeb","doi":"10.1109/AICCSA53542.2021.9686874","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686874","url":null,"abstract":"Automatic text classification or categorization consists to assign predefined classes or categories to a given set of text documents aiming to organize the document collection based on conceptual views. Although there are many text classifiers in the literature, most of them are assessed using English or other non-Arabic languages text collections. The lack of availability of a large collection in the Arabic language is one of the most important challenges facing the few numbers of existing Arabic text classifiers (ATC). We present in this paper a literature review in the domain of Arabic text classification. We firstly overview the ATC based on machine learning algorithms. Then, we investigate ATC based on deep learning techniques as well as a set of other classifiers based on non-ML algorithms. The assessment of these ATC is also discussed. Finally, we focus on some open problems and we suggest some future directions.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121631520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Explaining Deep Neural Networks in medical imaging context 解释医学成像背景下的深度神经网络
2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2021-10-28 DOI: 10.3390/mol2net-07-11235
Zakaria Rguibi, A. Hajami, Zitouni Dya
{"title":"Explaining Deep Neural Networks in medical imaging context","authors":"Zakaria Rguibi, A. Hajami, Zitouni Dya","doi":"10.3390/mol2net-07-11235","DOIUrl":"https://doi.org/10.3390/mol2net-07-11235","url":null,"abstract":"Deep neural networks are becoming more and more popular due to their revolutionary success in diverse areas, such as computer vision, natural language processing, and speech recognition. However, the decision-making processes of these models are generally not interpretable to users. In various domains, such as healthcare, finance, or law, it is critical to know the reasons behind a decision made by an artificial intelligence system. Therefore, several directions for explaining neural models have recently been explored.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"541 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123785373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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