TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding.
Quanzhi Li|Sameena Shah|Xiaomo Liu|Armineh Nourbakhsh|Rui Fang
| Anthology ID: | DBLP:conf/cikm/LiSLNF16 |
|---|---|
| Volume: | Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 |
| Year: | 2016 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2429-2432 |
| URL: | https://doi.org/10.1145/2983323.2983325 |
| DOI: | https://doi.org/10.1145/2983323.2983325 |
| DBLP: | conf/cikm/LiSLNF16 |
| BibTeX: |
@inproceedings{li-2016-tweetsift,
author = {Quanzhi Li and
Sameena Shah and
Xiaomo Liu and
Armineh Nourbakhsh and
Rui Fang},
editor = {Snehasis Mukhopadhyay and
ChengXiang Zhai and
Javed Mostafa and
Elisa Bertino and
Fabio Crestani and
Javed Mostafa and
Jie Tang and
Luo Si and
Xiaofang Zhou and
Yi Chang and
Yunyao Li and
Parikshit Sondhi},
title = {{TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding}},
booktitle = {{Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016}},
pages = {2429--2432},
publisher = {ACM},
year = {2016},
url = {https://doi.org/10.1145/2983323.2983325},
doi = {https://doi.org/10.1145/2983323.2983325}
}