Results 231 to 240 of about 43,195,377 (268)
Some of the next articles are maybe not open access.
Short Text Classification of Chinese with Label Information Assisting
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023As a common language form in oral communication, short text is hard to be used in the applications such as intent understanding, text classification and so on due to its limited content and information, as well as irregular expression and missing components.
Qianqian Xu 0003 +5 more
openaire +1 more source
Chinese Texts Classification System
2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT), 2019In this article, we designed an automatic Chinese text classification system aiming to implement a system for classifying news texts. We propose two improved classification algorithms as two different choices for users to choose and then our system uses the chosen method for the obtaining of the classified result of the input text.
Meng Zhu, Xudong Yang
openaire +1 more source
Leveraging World Knowledge in Chinese Text Classification
Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007), 2007In state-of-the-art Text Classification (TC) approaches, only features explicitly mentioned in training set are taken into consideration, but after several decades' endeavor, it seems that these approaches have all reached a plateau. In this paper, we propose an automatic taxonomy mapping algorithm to map from original flat taxonomy to a hierarchical ...
Shu Xu, Maosong Sun 0001
openaire +2 more sources
Chinese Text Classification Based on the BVB Model
2008 Fourth International Conference on Semantics, Knowledge and Grid, 2008In this paper we take our effort to achieve a fast and accurate classifier: a BVB (BAM-Vote Box)-based framework is presented for text categorization by using ensemble method. The central idea is that combining two-class classifications for the multi-class tasks.
Rui Liu, Minghu Jiang
openaire +2 more sources
Chinese Text Classification Based on Summarization Technique
Third International Conference on Semantics, Knowledge and Grid (SKG 2007), 2007Two approaches to text classification based on summarization technique are proposed: in the first approach, the heuristic rules of auto-summarization are used to select and weight features for every category, and texts are classified by these features; in the second approach, the text summarization is directly used for classification instead of the ...
Xiao-yu Jiang, Xiaozhong Fan, Kang Chen
openaire +1 more source
Review of Chinese Short Text Classification
Applied Mechanics and Materials, 2013Because features of Chinese short text are different from long text, current text classification technology of long text classification are not suit of short text classification. This paper summarizes features, various methods and Application for Chinese short text classification, and pointes out their advantages, disadvantages and applicability scope.
Fen Lin Wu, Jin Gou, Cheng Wang
openaire +1 more source
Chinese Text Classification Based on Neural Network
2013Text classification is widely used nowadays. In this paper, we proposed a combination feature reduction method to reduce feature space dimension based on inductive analysis of existing researches. Neural network was then trained and used to classify new documents.
Hu Li, Peng Zou, Weihong Han
openaire +1 more source
Sentiment Classification of Chinese Microblogging Texts with Global RNN
2016 IEEE First International Conference on Data Science in Cyberspace (DSC), 2016Microblogging websites such as twitter and Sina Weibo have attracted many users to share their experiences and express their opinions on a variety of topics. Sentiment classification of microblogging texts is of great significance in analyzing users' opinion on products, persons and hot topics.
Jiajun Cheng +4 more
openaire +2 more sources
Chinese Text Classification Based on Neural Networks and Word2vec
2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC), 2019Neural network models have proved capable of achieving remarkable performance in sentence and document modeling. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs), two mainstream architectures for such modeling tasks, adopt totally different ways of understanding natural languages. The classical CNN, despite its wide application
Weixiong Hu +4 more
openaire +1 more source
Classification of Chinese Texts Based on Recognition of Semantic Topics
Cognitive Computation, 2015For machine learning methods, processing and understanding Chinese texts are difficult, for that the basic unit of Chinese texts is not character but phrases, and there is no natural delimiter in Chinese texts to separate the phrases. The processing of a large number of Chinese Web texts is more difficult, because such texts are often less topic ...
Ye-Wang Chen +3 more
openaire +1 more source