@inproceedings{034ead88e8ab4a69aa0b1659250a773b,
title = "Predicting mass incidents from weibo",
abstract = "The outbreak of mass incidents severely affects the stability of society. If we can predict mass incidents in advance, we may find the solution to avoid the confliction in time. Some of the existing approaches rely on emotional modeling. Much research has been conducted on microblog incident detection using statistical models, like LASSO regression method, Dynamic Query Expansion (DQE) and so on. In this paper, we propose to combine sentiment analysis and statistical methods, and uses LASSO regression method for mass incidents prediction. Experiments on Qingdao demonstrated that our proposed approach achieves a good performance.",
keywords = "Dynamic query expansion, Event forecasting, LASSO, Mass incidents, Sentiment analysis",
author = "WenWen Li and Yang Zhou and Tingting Lu and Tingshao Zhu",
year = "2016",
doi = "10.1007/978-3-319-31854-7_96",
language = "English (US)",
isbn = "9783319318530",
volume = "9567",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "895--900",
booktitle = "Human Centered Computing - 2nd International Conference, HCC 2016, Revised Selected Papers",
address = "Germany",
note = "2nd International Conference on Human Centered Computing, HCC 2016 ; Conference date: 07-01-2016 Through 09-01-2016",
}