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Research on Long Text Classification Model Based on Multi-Feature Weighted Fusion
2022
Applied Sciences
Text classification in the long-text domain has become a development challenge due to the significant increase in text data, complexity enhancement, and feature extraction of long texts in various domains of the Internet. A long text classification model based on multi-feature weighted fusion is proposed for the problems of contextual semantic relations, long-distance global relations, and multi-sense words in long text classification tasks. The BERT model is used to obtain feature
doi:10.3390/app12136556
fatcat:wlmbriaxbzhw5hme5qz4qtj6nu