Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Qiudan Li"'
Publikováno v:
BMC Public Health, Vol 16, Iss 1, Pp 1-12 (2016)
Abstract Background The electronic cigarette (e-cigarette) market has grown rapidly in recent years. However, causes of e-cigarette related symptoms among users and their impact on health remain uncertain. This research aims to mine the potential rel
Externí odkaz:
https://doaj.org/article/13472be566e2402598023c65417f53d1
Publikováno v:
Journal of Electronic Business & Digital Economics. 1:50-65
PurposeMining user-concerned actionable and interpretable hot topics will help management departments fully grasp the latest events and make timely decisions. Existing topic models primarily integrate word embedding and matrix decomposition, which on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac60b0cd48b48f35d98947f86e3a84ab
https://doi.org/10.1108/jebde-07-2022-0023
https://doi.org/10.1108/jebde-07-2022-0023
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eef6ebc02df6373d02582840bca47026
https://doi.org/10.1145/3543873.3587343
https://doi.org/10.1145/3543873.3587343
Publikováno v:
IEEE Intelligent Systems. 37:99-107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4605245b5da3104207bbed4b06dc079f
https://doi.org/10.1109/mis.2021.3121274
https://doi.org/10.1109/mis.2021.3121274
Publikováno v:
INFORMS Journal on Computing. 34:541-556
Detecting product adoption intentions on social media could yield significant value in a wide range of applications, such as personalized recommendations and targeted marketing. In the literature, no study has explored the detection of product adopti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ae2dff48a53091affe97cabd9dab02
https://doi.org/10.1287/ijoc.2021.1083
https://doi.org/10.1287/ijoc.2021.1083
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37eba6f36f6fc82984300e3e2ac0b415
https://doi.org/10.1109/ijcnn55064.2022.9892640
https://doi.org/10.1109/ijcnn55064.2022.9892640
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::637c8f78a54e293e665e22fc716959a5
https://doi.org/10.1109/ijcnn55064.2022.9892965
https://doi.org/10.1109/ijcnn55064.2022.9892965
Publikováno v:
IJCNN
News reprint analysis is gradually becoming a hot research topic. Most existing studies in news reprint analysis mainly focus on mining news reprint relations, there is little study exploring the detection of the patterns of news reprint yet. To fill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2374839ec0b85f4facad52f38426209
https://doi.org/10.1109/ijcnn52387.2021.9533750
https://doi.org/10.1109/ijcnn52387.2021.9533750
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030863791
ICANN (4)
ICANN (4)
Extracting emotion cause and experiencer from text can help people better understand users’ behavior patterns behind expressed emotions. Machine reading comprehension framework explicitly introduces a task-oriented query to boost the extraction tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c53c89de42b9fe892a51207e320588b
https://doi.org/10.1007/978-3-030-86380-7_9
https://doi.org/10.1007/978-3-030-86380-7_9
Publikováno v:
2020 5th IEEE International Conference on Big Data Analytics (ICBDA).
In this paper, we study the problem of authorship identification in online news data. Most of the existing approaches predict authorship via feature engineering, which cannot focus on important attributes. We designed an authorship identification met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25c0875178ed6c5472dacb768fbe2ae9
https://doi.org/10.1109/icbda49040.2020.9101269
https://doi.org/10.1109/icbda49040.2020.9101269