Abstract: 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 ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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 ...

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Are you working on a writing project and need to keep track of your character and word counts? Or maybe you're a developer who wants to add file analysis capabilities to your Python scripts? Either ...

1 Guangdong Power Grid Limited Liability Company, Guangdong, China 2 School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China With the advancement of source-load ...

We use LSTM, BiLSTM, BERT and SVM with TF-IDF, Word2vec and Bag-of-words to classify this documents to positive (labeled as 1), neutral (labeled as 0) and negative (labeled as 2) ...