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VNU-SMM: A social media monitoring framework on vietnamese online news

Nguyen, Xuan Duc and Nguyen, Minh Duc and Tran, Mai Vu and Phan, Xuan Hieu and Pham, Bao Son (2017) VNU-SMM: A social media monitoring framework on vietnamese online news. In: 2017 4th NAFOSTED Conference on Information and Computer Science (NICS 2017), 24-25 November 2017, Hanoi, Vietnam.

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The exponential growth of social media has created informative content, which leads to the emersion of social listening tools, in order to serve the need of companies and organizations. These tools are developed mainly in English language and for those which deal with Vietnamese, they lack the analysis capabilities to capture insightful information. In our research, we propose a framework to automatically extract and analyze information from social media, including online news and social networks. Our framework consists of multiple modules: data crawler, analysis module (topic analysis, sentiment analysis, event detection), visualization module. The results for analysis modules are promising: F1-score for topic analysis is 53%, average accuracy for sentiment analysis (using Maximum Entropy with three classes) is 62% and F1-score for event detection is 88.36%.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: A/Prof. Xuan Hieu Phan
Date Deposited: 27 Nov 2017 04:39
Last Modified: 27 Nov 2017 04:39

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