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- W4313444872 abstract "In recent years, multilingual texts are blooming in the digital world. Analysis of these multilingual texts for various computational intelligence tasks is vital. To analyze and automate these various language tasks, resources are obligatory. Hence, there is a huge demand for the creation of regional language resources. Exclusively, processing of Indian regional languages for computational linguistic tasks demands the prodigious resources. Here, the new dataset for Kannada document classification is presented. Formerly, an exhaustive review on the various contributions of the researchers for Indian regional languages is discussed in Sect. 1. Further, the characteristics and the challenges faced in creation of the new Kannada document dataset for categorization are explained. Later, the validation results of the new dataset are presented by experimenting the various machine learning algorithms on the dataset. At last, results of various predominantly used classifiers are discussed." @default.
- W4313444872 created "2023-01-06" @default.
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- W4313444872 date "2023-01-01" @default.
- W4313444872 modified "2023-10-16" @default.
- W4313444872 title "KDC: New Dataset for Kannada Document Categorization" @default.
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- W4313444872 doi "https://doi.org/10.1007/978-981-19-5868-7_46" @default.
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