Big Data Text Mining Techniques in Journalism and Communication
Authors
Yuxin Miao
Corresponding Author
Yuxin Miao
Available Online 20 May 2021.
- DOI
- 10.2991/assehr.k.210519.050How to use a DOI?
- Keywords
- Big data, Text mining, Deep learning, News communication
- Abstract
With the rapid development of big data, data mining, artificial intelligence and other information technologies, text mining technology is increasingly widely applied in the field of humanities and social sciences. This paper firstly studies the value of data in news communication and the significance of text mining. Secondly, it constructs the news big data mining process based on deep learning. Finally, it illustrates the specific application of text mining technology in semantic network analysis, subject model and emotion analysis through cases.
- Copyright
- © 2021, 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 - Yuxin Miao PY - 2021 DA - 2021/05/20 TI - Big Data Text Mining Techniques in Journalism and Communication BT - Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021) PB - Atlantis Press SP - 256 EP - 259 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210519.050 DO - 10.2991/assehr.k.210519.050 ID - Miao2021 ER -