Search Results for author:
Found 8 papers, 1 papers with code
A time-varying study of Chinese investor sentiment, stock market liquidity and volatility: Based on deep learning BERT model and TVP-VAR model
The results show that the impact of investor sentiment on stock market liquidity and volatility is stronger.
Deep learning based Chinese text sentiment mining and stock market correlation research
We explore how to crawl financial forum data such as stock bars and combine them with deep learning models for sentiment analysis.
Research on the correlation between text emotion mining and stock market based on deep learning
This paper discusses how to crawl the data of financial forums such as stock bar, and conduct emotional analysis combined with the in-depth learning model.
ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation
Specifically, in the long-term module, we learn the temporal periodic interest of daily granularity, then utilize intra-level attention to form long-term interest.
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
In e-commerce advertising, the ad platform usually relies on auction mechanisms to optimize different performance metrics, such as user experience, advertiser utility, and platform revenue.
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
A dual relation propagation approach is proposed, where relations captured by the generated graph are separately propagated from the seen and unseen subgraphs.
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification
Video representation learning is a vital problem for classification task.
Visual Data Synthesis via GAN for Zero-Shot Video Classification
First, we propose multi-level semantic inference to boost video feature synthesis, which captures the discriminative information implied in joint visual-semantic distribution via feature-level and label-level semantic inference.
