In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...

This repository provides a Roberta-based text classification model with text preprocessing, training, and evaluation. The code uses Hugging Face Transformers and datasets, Scikit-learn, NLTK for text ...

Text feature extraction and pre-processing for classification algorithms are very significant. In this section, we start to talk about text cleaning since most of documents contain a lot of noise. In ...

Abstract: Text classification is the process of categorizing sentences into predefined classes on the basis of their meanings or functions. In this context, feature words play a crucial role in ...

Abstract: Under the rapid development of agricultural information technology, there has been an explosive growth in agricultural Q&A texts on the Internet, making the accurate classification of these ...

This online data science specialization is ideal for learners interested in tackling advanced advertising and marketing analytics using three advanced methods: text classification, text topic modeling ...