7 papers
PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore
Zhenkai Qin, Jiajing He, Qiao Fang
Fine-grained sentiment analysis (FGSA) aims to identify sentiment polarity toward specific aspects within a text, enabling more precise opinion mining in domains such as product re…
MindFlow: A Network Traffic Anomaly Detection Model Based on MindSpore
Qiuyan Xiang, Shuang Wu, Dongze Wu +2
With the wide application of IoT and industrial IoT technologies, the network structure is becoming more and more complex, and the traffic scale is growing rapidly, which makes the…
RAGAT-Mind: A Multi-Granular Modeling Approach for Rumor Detection Based on MindSpore
Zhenkai Qin, Guifang Yang, Dongze Wu
As false information continues to proliferate across social media platforms, effective rumor detection has emerged as a pressing challenge in natural language processing. This pape…
Few-shot Hate Speech Detection Based on the MindSpore Framework
Zhenkai Qin, Dongze Wu, Yuxin Liu +1
The proliferation of hate speech on social media poses a significant threat to online communities, requiring effective detection systems. While deep learning models have shown prom…
Frequency-Aware Attention-LSTM for PM Time Series Forecasting
Jiahui Lu, Shuang Wu, Zhenkai Qin +1
To enhance the accuracy and robustness of PM concentration forecasting, this paper introduces FALNet, a Frequency-Aware LSTM Network that integrates frequency-domain decomp…
Research on CNN-BiLSTM Network Traffic Anomaly Detection Model Based on MindSpore
Qiuyan Xiang, Shuang Wu, Dongze Wu +2
With the widespread adoption of the Internet of Things (IoT) and Industrial IoT (IIoT) technologies, network architectures have become increasingly complex, and the volume of traff…