[HTML][HTML] Adapting feature selection algorithms for the classification of Chinese texts

X Liu, S Wang, S Lu, Z Yin, X Li, L Yin, J Tian, W Zheng - Systems, 2023 - mdpi.com
Text classification has been highlighted as the key process to organize online texts for better
communication in the Digital Media Age. Text classification establishes classification rules …

Wordchange: Adversarial examples generation approach for chinese text classification

C Nuo, GQ Chang, H Gao, G Pei, Y Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
As an important carrier for disseminating information in the Internet Age, the text contains a
large amount of information. In recent years, adversarial example attacks against text …

[HTML][HTML] A robust morpheme sequence and convolutional neural network-based Uyghur and Kazakh short text classification

S Parhat, M Ablimit, A Hamdulla - Information, 2019 - mdpi.com
In this paper, based on the multilingual morphological analyzer, we researched the similar
low-resource languages, Uyghur and Kazakh, short text classification. Generally, the online …

Review on short-term traffic flow prediction methods under big data

S Tang - Applied and Computational Engineering, 2023 - ewadirect.com
The goal of traffic forecast is to predict the related traffic situation in the future according to
the historical concept. The predicted angle can be divided into short-term prediction and …

Research on classifier design of Chinese abstracts of postgraduate dissertations in library collection

SX Wang, SG Gu, Y Jin, H Xu, W Wang… - International …, 2022 - spiedigitallibrary.org
At present, there are many researches and application fields of Chinese text classification,
such as news classification, emotion classification, and spam identification and so on [1] …

[PDF][PDF] WordChange: Adversarial Examples Generation Approach for Chinese Text Classification

GE PEI, Y ZHANG - scholar.archive.org
As an important carrier for disseminating information in the Internet Age, the text contains a
large amount of information. In recent years, adversarial example attacks against text …