Ensemble feature selection for multi‐label text classification: An intelligent order statistics approach
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23044
Abstract: Because of the overgrowth of data, especially in text format, the value and importance of multi‐label text classification have increased. Aside from this, preprocessing and particularly intelligent feature selection (FS) are the most important step… read more here.
Keywords: label text; order statistics; classification; multi ... See more keywords
A Hybrid Model Based on Convolutional Neural Network and Long Short-Term Memory for Multi-label Text Classification
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DOI: 10.1007/s11063-024-11500-8
Abstract: Multi-label text classification (MLTC) is a popular method for organizing electronic documents, which is crucial for accessing and processing data. As the number of classes increases, learning multi-label data will be challenging. The number of… read more here.
Keywords: multi label; label text; model; neural network ... See more keywords
Research of multi-label text classification based on label attention and correlation networks
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DOI: 10.1371/journal.pone.0311305
Abstract: Multi-Label Text Classification (MLTC) is a crucial task in natural language processing. Compared to single-label text classification, MLTC is more challenging due to its vast collection of labels which include extracting local semantic information, learning… read more here.
Keywords: classification; multi label; text; label text ... See more keywords
Approach for Multi-Label Text Data Class Verification and Adjustment Based on Self-Organizing Map and Latent Semantic Analysis
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DOI: 10.15388/22-infor473
Abstract: In this paper, a new approach has been proposed for multi-label text data class verification and adjustment. The approach helps to make semi-automated revisions of class assignments to improve the quality of the data. The… read more here.
Keywords: label text; text data; class; multi label ... See more keywords
Contrastive Enhanced Learning for Multi-Label Text Classification
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DOI: 10.3390/app14198650
Abstract: Multi-label text classification (MLTC) aims to assign appropriate labels to each document from a given set. Prior research has acknowledged the significance of label information, but its utilization remains insufficient. Existing approaches often focus on… read more here.
Keywords: text classification; multi label; label; label text ... See more keywords