Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Keliang Jia"'
Publikováno v:
Annals of Saudi Medicine, Vol 44, Iss 4, Pp 264-271 (2024)
INTRODUCTION: This study aimed to determine the efficacy and safety of autologous PRP in anal fistula. METHODS: The search was done in electronic databases such as; PubMed, Scopus, Google Scholar, Embase, and Cochrane Library. The outcomes investigat
Externí odkaz:
https://doaj.org/article/80645cc8aa914a26a985344d0c58d576
Autor:
Keliang Jia
Publikováno v:
Computers and Electrical Engineering. 101:108032
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31d43190f6d4d3ea5193ed7fe1607cf6
https://doi.org/10.1016/j.compeleceng.2022.108032
https://doi.org/10.1016/j.compeleceng.2022.108032
Autor:
Keliang Jia, Zhinuo Li
Publikováno v:
Advances in Social Science, Education and Humanities Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0af3ce51f98784ad5f6d559674eb711
https://doi.org/10.2991/assehr.k.210824.006
https://doi.org/10.2991/assehr.k.210824.006
Autor:
Zhinuo Li, Keliang Jia
Publikováno v:
E3S Web of Conferences, Vol 253, p 03014 (2021)
The secondary forwarding of micro-blog can realize the fission transmission of micro-blog information, so the researches on Influential Factors of micro-blog retweeting has become a research hotspot of current scholars. Based on Lasswell’s 5W model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3de1181657c872e05a12c2e558a596c
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03014.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03014.pdf
Autor:
Keliang Jia, Zhinuo Li
Publikováno v:
Advances in Social Science, Education and Humanities Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db614fe7ce8acadd6de46dc87ba2a61f
https://doi.org/10.2991/assehr.k.210824.012
https://doi.org/10.2991/assehr.k.210824.012
Publikováno v:
International Journal of Surgery; Jun2024, Vol. 110 Issue 6, p3956-3957, 2p
Autor:
Keliang Jia, Zhinuo Li
Publikováno v:
2020 International Conference on Computer Information and Big Data Applications (CIBDA).
Emotion dictionary is an important resource of micro-blog sentiment analysis. Based on the existing emotion dictionary, the paper improves the calculation method of emotion intensity of different emotion categories of emotion words in emotion diction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34c54676463df2dddffb77d0eff0a870
https://doi.org/10.1109/cibda50819.2020.00076
https://doi.org/10.1109/cibda50819.2020.00076
Chinese sentiment classification based on Word2vec and vector arithmetic in human–robot conversation
Autor:
Keliang Jia
Publikováno v:
Computers and Electrical Engineering. 95:107423
With the aim of enhancing human–chatbot interactions, this paper presents a novel sentiment classification framework that recognizes both semantics emotion terms and emojis. Underpinned by Word2vec and vector arithmetic, a deep model learns the vec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c34646184b69d170affa213711338d55
https://doi.org/10.1016/j.compeleceng.2021.107423
https://doi.org/10.1016/j.compeleceng.2021.107423
Publikováno v:
2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI).
It is the basis of effective public opinion monitoring and guidance to evaluate the influence of micro-blog users and excavate high-impact micro-blog users. However, the existing researches on evaluation of user influence ignored the contribution of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67d94460bf6fa5a651a5b987129c3263
https://doi.org/10.1109/mlbdbi48998.2019.00038
https://doi.org/10.1109/mlbdbi48998.2019.00038
Publikováno v:
2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI).
Based on the consumers' consumption records, the paper extracted the features which reflected consumers' preferences, calculated the weights of different eigenvalues of each feature based on the idea of TF-IDF algorithm, constructed a consumer's cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f320ef0bdb9a06b835a96169ac024a28
https://doi.org/10.1109/mlbdbi48998.2019.00029
https://doi.org/10.1109/mlbdbi48998.2019.00029