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Design and implementation of the international news commentary Data Intelligent Processing System
Shiting Liao1, Yunpei Wang2, Qingnian Wang1,3
1School of Journalism and Communication, South China University of Technology, Guangzhou, Guangdong, China.
This study introduces an intelligent system to analyze international news commentary, overcoming information overload. It offers data-driven insights into topics, emotions, and dissemination for communication research.
Area of Science:
- Digital communication
- Information science
- Computational social science
Background:
- The digital age presents challenges in international news commentary, including information overload and noise.
- Traditional platforms lack robust data-driven analysis for news commentary.
- Need for advanced tools to process and understand large volumes of news data.
Discussion:
- A specialized intelligent system was developed to process international news commentary data.
- The system integrates modules for data crawling, processing, visualization, and retrieval.
- It offers automated recommendations and summarization capabilities for enhanced analysis.
Key Insights:
- Experimental results confirm the system's effectiveness in data processing and insight generation.
- Users gain objective understanding of commentary topics, sentiment, and dissemination patterns.
- The system facilitates deeper insights into global news discourse.
Outlook:
- Enhances theoretical understanding and practical applications in communication research.
- Provides valuable resources for analyzing complex digital media landscapes.
- Potential for broader application in social science research and data analysis.
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