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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (12): 52-59    DOI: 10.11925/infotech.2096-3467.2018.0415
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Identifying Trending Topics in Q&A Community with CART Decision Tree
Xiufeng Cheng1,Xinyi Zhang2,Ning Wang2()
1Institute of Scientific and Technical Information of China, Beijing 100038, China
2School of Information Management, Central China Normal University, Wuhan 430079, China
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[Objective] This paper tries to identify the trending topics, aiming to help the decision-making agencies manage online public opinion. [Methods] Firstly, we proposed the criteria to detect the trending topics of Q&A community. Then, we conducted an empirical study on China’s Zhihu Q&A community using the CART decision tree algorithm. [Results] The CART decision tree predicted the trending topics. [Limitations] We only collected data from a small portion of all topics on Zhihu. More data is needed for future studies. [Conclusions] The proposed method based on the CART decision tree algorithm could effectively predict trending topics in the Q&A community, which help us choose popular contents.

Key wordsDecision Tree      Q&A Community      Trending Topics     
Received: 13 April 2018      Published: 16 January 2019

Cite this article:

Xiufeng Cheng,Xinyi Zhang,Ning Wang. Identifying Trending Topics in Q&A Community with CART Decision Tree. Data Analysis and Knowledge Discovery, 2018, 2(12): 52-59.

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