Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR 2020)

Research on Danmaku Knowledge Discovery Service Under Computational Communication

Authors
Li Wang, Zhihui Liu, Hongqi Han
Corresponding Author
Li Wang
Available Online 1 May 2020.
DOI
10.2991/assehr.k.200428.107How to use a DOI?
Keywords
Danmaku, knowledge discovery, LDA, computational communication
Abstract

Danmaku is a new type of user comment data with large amount of data, strong timeliness and close connection with video content. It contains a large amount of explicit and implicit knowledge used in computational communication to analysis user behaviour. This paper uses statistics and topic mining methods to analysis the relationship between the length and quantity of danmaku and the topic. This paper takes the danmaku of HUAWEI P30 mobile phone on BILIBILI website as an example for quantitative empirical research. The results shows that the danmaku is more superficial and popular. The audience is younger, and the culture contains more perceptual elements.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 May 2020
ISBN
10.2991/assehr.k.200428.107
ISSN
2352-5398
DOI
10.2991/assehr.k.200428.107How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Wang
AU  - Zhihui Liu
AU  - Hongqi Han
PY  - 2020
DA  - 2020/05/01
TI  - Research on Danmaku Knowledge Discovery Service Under Computational Communication
BT  - Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR 2020)
PB  - Atlantis Press
SP  - 496
EP  - 501
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200428.107
DO  - 10.2991/assehr.k.200428.107
ID  - Wang2020
ER  -