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Research-of-Topic-Shifts-in-Comment-Based-Social-Network

• Labeled the news and comments data collected from Yahoo.com and found that 70.8% of the comments’ topics shift.

• Defined five features for comment and then got the best feature combination with classification accuracy of 82.4% using information entropy and SVM classifier.

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Sun, Yingcheng, and Kenneth Loparo. "Topic Shift Detection in Online Discussions using Structural Context." In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), vol. 1, pp. 948-949. IEEE, 2019.

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Sun, Yingcheng, and Kenneth Loparo

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