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 ...

Abstract: Text categorization has always been a research hotspot in the field of natural language processing. Although text classification models based on deep learning have achieved good results, the ...

With the advancement of source-load interaction in the new power systems, data-driven approaches have provided a foundational support for aggregating and interacting between sources and loads. However ...

Job Title: 3D Machine Learning Intern Location: Remote/On-site Flexibility We are offering an exciting opportunity for a 3D Machine Learning Intern to join our team. This position provides the ...

Abstract: Text classification is a truly mandatory field in the world of Natural Language Processing (NLP). It involves real-life applications in domains such as engineering and computer science. It ...

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) ...

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 ...

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