Zhongyi Hu
Datos Biográficos
| ID | 9699461 |
|---|---|
| NOMBRE | Zhongyi Hu |
| NOMBRES | Zhongyi |
| APELLIDO | Hu |
| FIRMA | HU Z |
| AFILIACIONES | Sichuan University |
| ORCID | 0000-0002-1113-0199 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2021 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 0 |
A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method
Financial news disclosures provide valuable information for traders and investors while making stock market investment decisions. Essential but challenging, the stock market prediction problem has attracted significant attention from both researchers and practitioners. Conventional machine learning models often fail to interpret the content of financial news due to the complexity and ambiguity of natural language used in the news. Inspired by the…
Covid-19
Reopen major tourist destinations is one of the significant recovery initiatives for the tourism industry after the outbreak of crises. However, few studies have focused on management measures during the reopening of tourist destinations. In this regard, this study adopts the co-word analysis to map the topics of 273 notices of the reopened national 5A scenic areas in China. The key themes are identified including (i) prevention measures, (ii) bu…
What is the policy focus for tourism recovery after the outbreak of Covid-19? A co-word analysis
Policies for tourism recovery are highly instrumental in achieving tourism development after the outbreak of COVID-19. To understand these policies, this study performed the co-word analysis to map the topics of 140 recovery policies for tourism in China. Four core themes are identified in these policies, namely (i) prophylactic measures, (ii) tourism recovery and development, (iii) policy support, and (iv) departmental management. Moreover, the …
Sin obras prominentes en esta página.
What is the policy focus for tourism recovery after the outbreak of Covid-19? A co-word analysis
Policies for tourism recovery are highly instrumental in achieving tourism development after the outbreak of COVID-19. To understand these policies, this study performed the co-word analysis to map the topics of 140 recovery policies for tourism in China. Four core themes are identified in these policies, namely (i) prophylactic measures, (ii) tourism recovery and development, (iii) policy support, and (iv) departmental management. Moreover, the …
Covid-19
Reopen major tourist destinations is one of the significant recovery initiatives for the tourism industry after the outbreak of crises. However, few studies have focused on management measures during the reopening of tourist destinations. In this regard, this study adopts the co-word analysis to map the topics of 273 notices of the reopened national 5A scenic areas in China. The key themes are identified including (i) prevention measures, (ii) bu…
A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method
Financial news disclosures provide valuable information for traders and investors while making stock market investment decisions. Essential but challenging, the stock market prediction problem has attracted significant attention from both researchers and practitioners. Conventional machine learning models often fail to interpret the content of financial news due to the complexity and ambiguity of natural language used in the news. Inspired by the…
Business (2 obras) · China (2 obras) · Crisis management (2 obras) · Diverse Aspects of Tourism Research (2 obras) · Political science (2 obras) · Tourism (2 obras) · Ambiguity (1 obras) · Artificial Intelligence (1 obras) · Artificial neural network (1 obras) · Computer Science (1 obras)