TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos

Chen, Jiayi; Wu, Wen; Hu, Wenjing; He, Liang

doi:10.1109/ictai50040.2020.00021

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Through the study of Danmaku data, key information that users pay attention to can be obtained, and related research results have been well applied in video recommendations. Chen et al (2020) proposed the “TSCREC” model, which uses a bidirectional recursive unit to capture the semantics of existing comments. It provides some suggestions for users when they post danmaku comments.…”

Section: Related Workmentioning

confidence: 99%

Application of public emotion feature extraction algorithm based on social media communication in public opinion analysis of natural disasters

Li,

Sun

2023

PeerJ Computer Science

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Natural disasters are usually sudden and unpredictable, so it is too difficult to infer them. Reducing the impact of sudden natural disasters on the economy and society is a very effective method to control public opinion about disasters and reconstruct them after disasters through social media. Thus, we propose a public sentiment feature extraction method by social media transmission to realize the intelligent analysis of natural disaster public opinion. Firstly, we offer a public opinion analysis method based on emotional features, which uses feature extraction and Transformer technology to perceive the sentiment in public opinion samples. Then, the extracted features are used to identify the public emotions intelligently, and the collection of public emotions in natural disasters is realized. Finally, through the collected emotional information, the public’s demands and needs in natural disasters are obtained, and the natural disaster public opinion analysis system based on social media communication is realized. Experiments demonstrate that our algorithm can identify the category of public opinion on natural disasters with an accuracy of 90.54%. In addition, our natural disaster public opinion analysis system can deconstruct the current situation of natural disasters from point to point and grasp the disaster situation in real-time.

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Section: Related Workmentioning

confidence: 99%