Identifying the topic-specific influential users using SLM
Files
Department
Computer Science & Engineering Department
Description
[abstract not available]
Publication Date
2-29-2016
Document Type
Book Chapter
Book Title
Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015
ISBN
SCOPUS_ID:84969760851
Publisher
IEEE
City
Cairo, Egypt
First Page
118
Last Page
123
Keywords
Arabic, Influence, Linguistic Analysis, SLM, Social Networks, Twitter
Recommended Citation
APA Citation
Shalaby, M.
&
Rafea, A.
(2016).Identifying the topic-specific influential users using SLM. IEEE. , 118-123
https://fount.aucegypt.edu/faculty_book_chapters/374
MLA Citation
Shalaby, May, et al.
Identifying the topic-specific influential users using SLM. IEEE, 2016.pp. 118-123
https://fount.aucegypt.edu/faculty_book_chapters/374