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

Abstract: Text classification is a classical task in natural language processing. Prior traditional text classification methods rely on manually extracted features to a great extent, which are easily ...

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 ...

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 ...

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) ...

1 School of Statistics and Mathematics, Guangdong University of Finance and Economics, Guangzhou, Guangdong, China 2 School of Accounting, Guangdong University of Finance and Economics, Guangzhou, ...