WebMar 6, 2024 · Text classification is a vital task of natural language processing (NLP) that involves assigning text data to predefined categories or labels, such as emotions, topics, and other types [].It is widely used in practical applications such as sentiment analysis [2,3,4], in-formation retrieval [5,6,7], and question-answering [].However, the traditional … WebNov 1, 2024 · In this paper, a novel Chinese spam filtering approach with semantics-based text classification technology was proposed and the related feature terms were selected from the semantic meanings of ...
Genetic variants of Dabie bandavirus: classification and biological ...
WebEasy to implement BERT-like pre-trained language models This notebook works on sentiment analysis of Chinese movie reviews, which is a small dataset. I would like to … WebSep 14, 2024 · The research of high education (HE) has been developing rapidly in China, resulting in a huge number of texts, such as relevant policies, speech drafts, and yearbooks. The traditional manual classification of HE texts is inefficient and unable to deal with the huge number of HE texts. can i cancel my train ticket trainline
A Radical-Aware Attention-Based Model for Chinese Text Classification ...
Web5 Chinese text classification datasets are used. JD full, JD binary, and Dianping datasets consist of user reviews of different sentiment polarities. Ifeng and Chinanews consist of first paragraphs of news articles of different topic classes. They are collected by Glyph project and more details are discussed in corresponding paper. Training ... WebDec 1, 2024 · Chinese Text Classification Based on ERNIE-RNN Authors: Jing Li Dezheng Zhang Aziguli Wulamu No full-text available ... ERNIE-DPCNN ERNIE utilizes multi-source data and prior knowledge for... WebDec 24, 2024 · Text categorization is a fundamental and traditional task in natural language processing (NLP), which can be applied in various applications such as sentiment analysis [], question classification [] and topic classification [].Since Mikolov et al. proposed pre-trained word embeddings [], many tasks have been greatly improved including text … fitness time out ostermundigen