@inproceedings{e9e7e0659b1b4676859d870f58ff1191,
title = "Analyzing topics of JUUL discussions on social media using a semantics-assisted NMF model",
abstract = "JUUL has become a widely used brand of e-cigarettes which takes more than 70% of the market. Social media provides a popular platform for users to discuss the preference and perceptions of JUUL. The discussions are valuable for real-time monitoring of JUUL use. Current research on topic analysis of JUUL discussions mainly relies on human work, which takes much time and effort. This paper adopts a Semantics-assisted NMF topic analysis model to automatically discover topics from JUUL-related short posts on Reddit. By successfully merging the semantic relationships into traditional NMF, this model outperforms in discovering topics with keywords that are important but have a lower word frequency among the posts. Experimental results show the potential of this model in JUUL surveillance and control practice.",
keywords = "E-cigarettes, JUUL, Short posts, Topic analysis",
author = "Hejing Liu and Qiudan Li and Riheng Yao and Zeng, {Daniel Dajun}",
note = "Funding Information: This work was supported by the National Key R&D Program of China under Grant No. 2016QY02D0305, the National Natural Science Foundation of China under Grant No. 61671450, 71621002, the Key Research Program of the Chinese Academy of Sciences under Grant No. ZDRW-XH-2017-3. Funding Information: ACKNOWLEDGMENT This work was supported by the National Key R&D Program of China under Grant No. 2016QY02D0305, the National Natural Science Foundation of China under Grant No. 61671450, 71621002, the Key Research Program of the Chinese Academy of Sciences under Grant No. ZDRW-XH-2017-3. Publisher Copyright: {\textcopyright} 2019 IEEE.; 17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019 ; Conference date: 01-07-2019 Through 03-07-2019",
year = "2019",
month = jul,
doi = "10.1109/ISI.2019.8823541",
language = "English (US)",
series = "2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "212--214",
editor = "Xiaolong Zheng and Ahmed Abbasi and Michael Chau and Alan Wang and Lina Zhou",
booktitle = "2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019",
}