An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter.

@inproceedings{fang-2018-effective, author = {Anjie Fang and Iadh Ounis and Craig MacDonald and Philip Habel and Xiaoyu Xiong and Haitao Yu}, editor = {Alfredo Cuzzocrea and James Allan and Norman W. Paton and Divesh Srivastava and Rakesh Agrawal and Andrei Z. Broder and Mohammed J. Zaki and K. Sel\c{c}uk Candan and Alexandros Labrinidis and Assaf Schuster and Haixun Wang}, title = {{An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter}}, booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}}, pages = {1547--1550}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3269206.3269253}, doi = {https://doi.org/10.1145/3269206.3269253} }