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 ...
Abstract: To solve the problems of polysemy and feature extraction in the text sentiment analysis process, a BERT-CNN-BiLSTM-Att hybrid model has been proposed for text sentiment analysis. The BERT ...
This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a special data format (JSON) on the server, then sending that over to the client ...