Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...

Abstract: Many current studies on natural language processing (NLP) depend on supervised learning, which needs a lot of labeled data. This is not practical for large classification tasks. This ...