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| Finding Geographic Locations of Popular Online Topics |
Liu Yuwen1,2( ),Wang Kai1 |
1School of Health Management, Bengbu Medical College, Bengbu 233030, China
2College of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China |
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Abstract [Objective] This paper analyzes the geographic distributions of popular online topics, aiming to provide decision-making support for public opinion management and social governance.[Methods] First, we introduced location parameters of comments into the LDA model, and proposed a region-oriented topic recognition model (RO-LDA). Then, we used this model to label texts, topics, locations and vocabularies with location tags. Third, we created text-topics, topic-words and topic-locations matrices. Finally, we identified trending topics and their geographic distributions with the help of topic-words and topic-locations distributions.[Results] We examined the proposed model with real data set. The F value reached 80.05%, which is higher than the existing models.[Limitations] The location tags were set manually, which impacted the accuracy of region recognition.[Conclusions] The proposed method could identify geographic features of trending topics effectively.
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Received: 11 June 2019
Published: 26 April 2020
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Corresponding Authors:
Liu Yuwen
E-mail: lywzyfy@163.com
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