Abstract: Increasingly large document collections require improved information processing methods for searching, retrieving, and organizing text. Central to these information processing methods is ...

ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...

Abstract: Modern deep learning models have exhibited better performance than conventional machine learning methods across a range of text classification tasks, encompassing natural language inference, ...

Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories ...

Most e-commerce platforms allow consumers to post product reviews, causing more and more consumers to get into the habit of reading reviews before they buy. These online reviews serve as an emotional ...

Small-Text provides state-of-the-art Active Learning for Text Classification. Several pre-implemented query strategies, initialization strategies, and stopping criteria are provided, which can be ...

1 College of Science, Yanbian University, Yanji, China. 2 Department of Economics and Management of Yanbian University, Yanji, China. Natural language processing is to use computers to process and use ...

Increasingly large document collections require improved information processing methods for searching, retrieving, and organizing text. Central to these information processing methods is document ...