Results 21 to 30 of about 31,930 (259)
Arabic text classification: the need for multi-labeling systems [PDF]
Neural Computing and Applications, 2021 The process of tagging a given text or document with suitable labels is known as text categorization or classification. The aim of this work is to automatically tag a news article based on its vocabulary features. To accomplish this objective, 2 large datasets have been constructed from various Arabic news portals.
Hozayfa El Rifai +2 more
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Cross-modal multi-label image classification modeling and recognition based on nonlinear
Nonlinear Engineering, 2023 Recently, it has become a popular strategy in multi-label image recognition to predict those labels that co-occur in a picture. Previous work has concentrated on capturing label correlation but has neglected to correctly fuse picture features and label ...
Yuan Shuping +5 more
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Adapting Transformers for Multi-Label Text Classification. [PDF]
, 2022 Pre-trained language models have proven to be effective in multi-class text classification. Our goal is to study and improve this approach for multi-label text classification, a task that has been surprisingly little explored in the last few years despite its many real world applications.
Fallah, Haytame +3 more
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MultiCGCN: Multi-Label Text Classification using GCNs and Heterogeneous Graphs [PDF]
International Journal of Web ResearchMulti-label text classification is a critical challenge in natural language processing, where the goal is to assign multiple labels to a given document.
Milad Allahgholi +3 more
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Multi-Keyword Classification: A Case Study in Finnish Social Sciences Data Archive
Information, 2021 In this paper, we consider the task of assigning relevant labels to studies in the social science domain. Manual labelling is an expensive process and prone to human error.
Erjon Skenderi +2 more
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Multi-label Financial Text Classification Algorithm Based on Graph Deep Learning [PDF]
Jisuanji gongcheng, 2022 Multi-label financial text classification can retrieve relevant information from massive financial news according to user needs.To further improve the performance of multi-label financial text classification, this study proposes an algorithm to model the
JIN Yucheng, WANG Qingqin, GAO Jian, MIAO Zhongchen, LIN Yuefeng, XIANG Yali, XIONG Yun
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Multi-Label Emotion Classification on Code-Mixed Text: Data and Methods
IEEE Access, 2022 The multi-label emotion classification task aims to identify all possible emotions in a written text that best represent the author’s mental state.
Iqra Ameer +3 more
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Multi-label literature classification based on the Gene Ontology graph
BMC Bioinformatics, 2008 Background The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of ...
Lu Xinghua +3 more
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Harnessing Multi-label Classification Approaches for Economic Phenomena Categorization
ASEAN Journal on Science and Technology for Development, 2021 One fashion to report a country’s economic state is by compiling economic phenomena from several sources. The collected data may be explored based on their sentiments and economic categories.
Nofriani, Novianto Budi Kurniawan
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Active Learning Strategies for Multi-Label Text Classification [PDF]
, 2009 Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabeled examples in terms of how much further information they would carry, once manually labeled, for retraining a (hopefully) better classifier.
Esuli A, Sebastiani F
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