3 To address these limitations, text analysis tools such as CiteSpace and VOSviewer offer classification-independent methods to identify key topics.4 5 A 2019 study using natural language processing .

To leverage the rich knowledge embedded in PLMs for various natural language processing (NLP) tasks, the fine-tuning method, coupled with an additional classifier, has been widely employed and ...

Text Classification is an important research area in natural language processing (NLP) that has received a considerable amount of scholarly attention in recent years. However, real Chinese online news ...

Discover the best text classification tools for natural language processing in data science. Enhance your NLP projects with these powerful resources.

Discover the best NLP tools for text classification tasks in data science, from Python libraries to deep learning frameworks.

Text classification in natural language processing (NLP) is evolving rapidly, particularly with the surge in transformer-based models, including large language models (LLM). This paper presents an ...

Abstract Text classification is an essential task of natural language processing. Preprocessing, which determines the representation of text features, is one of the key steps of text classification ...

Teaching computers to make sense of human language has long been a goal of computer scientists. Natural language processing algorithms aim to make sense of it.