Results 31 to 40 of about 379,557 (154)
Multilabel Text Classification with Label-Dependent Representation
Applied Sciences, 2023 Assigning predefined classes to natural language texts, based on their content, is a necessary component in many tasks in organizations. This task is carried out by classifying documents within a set of predefined categories using models and ...
Rodrigo Alfaro +2 more
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Research on manufacturing text classification based on improved genetic algorithm
Brazilian Archives of Biology and TechnologyAccording to the features of texts, a text classification model is proposed. Base on this model, an optimized objective function is designed by utilizing the occurrence frequency of each feature in each category.
Zhou Kaijun, Tong Yifei
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Social Media Text Classification by Enhancing Well-Formed Text Trained Model
Journal of ICT Research and Applications, 2016 Social media are a powerful communication tool in our era of digital information. The large amount of user-generated data is a useful novel source of data, even though it is not easy to extract the treasures from this vast and noisy trove.
Phat Jotikabukkana +3 more
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Generative Multi-Task Learning for Text Classification
IEEE Access, 2020 Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains. In this paper, a generative multi-task learning (MTL) approach for text classification and categorization is proposed, which ...
Wei Zhao, Hui Gao, Shuhui Chen, Nan Wang
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Three-Branch BERT-Based Text Classification Network for Gastroscopy Diagnosis Text
International Journal of Crowd ScienceDuring a hospital visit, a significant volume of Gastroscopy Diagnostic Text (GDT) data are produced, representing the unstructured gastric medical records of patients undergoing gastroscopy.
Zhichao Wang +3 more
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Text Classification: How Machine Learning Is Revolutionizing Text Categorization
InformationThe automated classification of texts into predefined categories has become increasingly prominent, driven by the exponential growth of digital documents and the demand for efficient organization.
Hesham Allam +4 more
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Network-Based Bag-of-Words Model for Text Classification
IEEE Access, 2020 The rapidly developing internet and other media have produced a tremendous amount of text data, making it a challenging and valuable task to find a more effective way to analyze text data by machine. Text representation is the first step for a machine to
Dongyang Yan +3 more
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Text Classification for Records Management [PDF]
Journal on Computing and Cultural Heritage, 2022 Automatic classification of electronic records is necessary to address the brewing crisis in the recordkeeping discipline, caused by escalating data volumes and digital rights legislation. Current solutions usually employ expert systems that classify records based on their metadata, but this approach is becoming unfeasible due to the increased variety ...
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Polyseme-Aware Vector Representation for Text Classification
IEEE Access, 2020 Representation models for text classification have recently shown impressive performance. However, these models neglect the importance of polysemous words in text.
Shun Guo, Nianmin Yao
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Research on the internal influence factors of the text multi-classification problem
MATEC Web of Conferences, 2018 This paper mainly deals with the classification of text type data. The statistics show that more than 8000 articles have been reached in all kinds of documents retrieved by the optical network. However, there are few papers on the factors that affect the
Mingqiang Wu, Chang Furong, Zhang Kui
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