Deep Learning Approaches for Document Classification: An Insight
Deepti Aggarwal, Arun Sharma · 2022 2nd International Conference on Intelligent Technologies (CONIT) · 2022
Increasingly large document collections require progressed information processing techniques for searching, retrieving, and organizing textual content. Document Classification is the pastime of labeling Natural Language texts with applicable Categories from a Predefined Text. To Classify the document, we need to acquire applicable information from the entire Document. In massive technological-based organizations, the necessities to handle and organize technical documents created by software architects and peers in assisting applicable policy-making have elevated drastically in current years, it came about a better call for a greater accurate, to the point, scalable, and automatic document classification. This review paper gives an insight into the different document classification methods, their phases, and, diverse deep learning strategies. It additionally pursuits at evaluating and contrasting numerous implemented strategies on the foundation in their overall performance and accuracy.