Publisher
Springer International Publishing
Reference23 articles.
1. Sankaranarayanan, J., Samet, H., Teitler, B.E., Lieberman, M.D., Sperling, J.: TwitterStand: news in Tweets. In: Proceedings of the ACM SIGSPATIAL (2009)
2. Tian, L., Gong-De, G.: Bursty topic detection based on word co-occurrence and emotions. Computer Systems & Applications (2016)
3. Huang, J., Peng, M., Wang, H.: Topic detection from large scale of microblog stream with high utility pattern clustering. In: 8th ACM Workshop on Ph. D. Workshop in Information and Knowledge Management (2015)
4. Geng, X., Zhang, Y., Jiao, Y., et al.: A novel hybrid clustering algorithm for topic detection on Chinese microblogging. IEEE Trans. Comput. Soc. Syst. 6(2), 289–300 (2019)
5. Nolasco, D., Oliveira, J.: Subevents detection through topic modeling in social media posts. Future Gener. Comput. Syst. 93(APR), 290–303 (2019)