Multi-label Text Classification using GloVe and Neural Network Models

arXiv:2312.03707v2 Announce Type: replace
Abstract: This study addresses the challenges of multi-label text classification. The difficulties arise from imbalanced data sets, varied text lengths, and numerous subjective feature labels. Existing solutions include traditional machine learning and deep neural networks for predictions. However, both approaches have their limitations. Traditional machine learning often overlooks the associations between words, while deep neural networks, despite their better classification performance, come with increased training complexity and time. This paper proposes a method utilizing the bag-of-words …

abstract arxiv challenges classification cs.cl data data sets feature however labels limitations machine machine learning network networks neural network neural networks predictions replace solutions study text text classification traditional machine learning type