Predicting the popularity of tweets using the theory of point processes.
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| Main Author: | |
|---|---|
| Format: | UMK Etheses |
| Language: | English |
| Published: |
2019
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| Online Access: | http://discol.umk.edu.my/id/eprint/10738/ http://discol.umk.edu.my/id/eprint/10738/1/Tan%20Wai%20Hong.pdf |
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| id |
my-umk-ep.10738 |
|---|---|
| record_format |
uketd_dc |
| spelling |
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| 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 |