Predicting the popularity of tweets using the theory of point processes.

Saved in:
Bibliographic Details
Main Author: Tan, Wai Hong
Format: UMK Etheses
Language:English
Published: 2019
Online Access:http://discol.umk.edu.my/id/eprint/10738/
http://discol.umk.edu.my/id/eprint/10738/1/Tan%20Wai%20Hong.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-umk-ep.10738
record_format uketd_dc
spelling
institution Universiti Malaysia Kelantan
collection UMK Digital Special Collection
language English
format UMK Etheses
author Tan, Wai Hong
spellingShingle Tan, Wai Hong
Predicting the popularity of tweets using the theory of point processes.
author_facet Tan, Wai Hong
author_sort Tan, Wai Hong
title Predicting the popularity of tweets using the theory of point processes.
title_short Predicting the popularity of tweets using the theory of point processes.
title_full Predicting the popularity of tweets using the theory of point processes.
title_fullStr Predicting the popularity of tweets using the theory of point processes.
title_full_unstemmed Predicting the popularity of tweets using the theory of point processes.
title_sort predicting the popularity of tweets using the theory of point processes.
publishDate 2019
url http://discol.umk.edu.my/id/eprint/10738/
http://discol.umk.edu.my/id/eprint/10738/1/Tan%20Wai%20Hong.pdf
_version_ 1748404119972872192