Chinese-text-classification
WebWith the rapid growth of information retrieval technology, Chinese text classification, which is the basis of information content security, has become a widely discussed topic. In view of the huge difference compared with English, Chinese text task is more complex in semantic information representations. However, most existing Chinese text classification … WebChinese Text Classification Python · 新闻联播(Chinese official daily news) Chinese Text Classification. Notebook. Input. Output. Logs. Comments (3) Run. 143.1s. history …
Chinese-text-classification
Did you know?
WebAbstract: In view of the fact that natural language has strong contextual dependence on sentence structure, but the existing Chinese short text classification algorithms often have problems such as sparse features, irregular words and massive data, a new chinese news classification model based on BERT and capsule network structure is proposed. First, … WebHybrid attention networks for Chinese short text classification. Computacióny Sistemas 21, 4 (2024), 759--769. Google Scholar; Xiaobin Zhu, Zhuangzi Li, Xianbo Li, Shanshan Li, and Feng Dai. 2024. Attention-aware perceptual enhancement nets for low-resolution image classification. Information Sciences 515 (2024), 233--247.
WebIn view of the fact that natural language has strong contextual dependence on sentence structure, but the existing Chinese short text classification algorithms Chinese Text … WebOct 18, 2024 · Text classification is of importance in natural language processing, as the massive text information containing huge amounts of value needs to be classified into different categories for further use. In …
WebZhang et al. presented a short text classification algorithm for Chinese clinical medicine combining ALBERT pre-training model and graph attention network. 2.3. Multi-Task … WebFeb 6, 2024 · Combined with this method, a feature-enhanced text-inception model for Chinese long text classification was proposed. First, the model used a novel text-inception module to extract important shallow features of the text. Meanwhile, the bidirectional gated recurrent unit (Bi-GRU) and the capsule neural network were …
WebThe methods based on the combination of word-level and character-level features can effectively boost performance on Chinese short text classification. A lot of works …
WebFeb 24, 2024 · In this project, RoBERTa-wwm-ext [Cui et al., 2024] pre-train language model was adopted and fine-tuned for Chinese text classification. The models were … green wall temperature reductionWebJan 1, 2016 · In this paper, aiming at the characteristics of Chinese text classification, using the ICTCLAS (Chinese lexical analysis system of Chinese academy of sciences) … fnf vs tricky cheat botWebOct 9, 2024 · This work proposes a novel hybrid system for Chinese text classification: CSVM, which is independent of the hand-designed features and domain knowledge, and testing on a text dataset with 10 categories, the experimental results show that the CSVM algorithm is more effective than other traditional ChineseText classification algorithm. … green walls with white trimWebAug 18, 2024 · The latest deep learning model for solving Chinese long text classification problem was proposed by Deng et al. in 2024, known as attention-based BiLSTM fused CNN with gating mechanism (ABLG-CNN) . The main frame of ABLG-CNN is a hybrid neural network constituted by BLSTM and CNN. The former is employed to extract … greenwalls vertical planting systemsWebJan 1, 2024 · Text classification. Dataset: We use TouTiao News Titles Classification (TNEWS), IFLYTEK app description classification (IFLYTEK), and Original Chinese NLI (OCNLI) as our benchmark datasets for text classification (Xu et al., 2024; Hu et al., 2024). Since we aim to evaluate the zero-shot ability of CPM on text classification tasks, we … fnf vs tricky full weekWebAnalyze text and transform words into lemmas, Perform a linguistic analysis, Extract the linguistic features from the text (plural and singular forms, gender), part-of-speech tags (pronouns, verbs, nouns, adjectives, etc.), word dependencies labels, named entity recognition, etc. fnf vs tricky full week gamebananaWebFeb 8, 2024 · In summary, the major contributions of our paper include three aspects. (a) Investigating a novel hybrid system for Chinese text classification: CSVM, which … fnf vs tricky but bad phase 3