@inproceedings{247cc94c9ccc4d73acd4574b2aea29a5,
title = "Trending sentiment-topic detection on twitter",
abstract = "Twitter plays a significant role in information diffusion and has evolved to an important information resource as well as news feed. People wonder and care about what is happening on Twitter and what news it is bringing to us every moment. However, with huge amount of data, it is impossible to tell what topic is trending on time manually, which makes real-time topic detection attractive and significant. Furthermore, Twitter provides a platform of opinion sharing and sentiment expression for events, news, products etc. Users intend to tell what they are really thinking about on Twitter thusmakes Twitter a valuable source of opinions. Nevertheless, most works about trending topic detection fail to take sentiment into consideration. This work is based on a non-parametric supervised real-time trending topic detectionmodelwith sentimental feature.Experiment shows our model successfully detects trending sentimental topic in the shortest time. After a combination of multiple features, e.g. tweet volume and user volume, it demonstrates impressive effectiveness with 82.3\% recall and surpasses all the competitors.",
keywords = "Online social network, Sentiment analysis, Trending topic detection, Twitter",
author = "Baolin Peng and Jing Li and Junwen Chen and Xu Han and Ruifeng Xu and Wong, \{Kam Fai\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 16th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2015 ; Conference date: 14-04-2015 Through 20-04-2015",
year = "2015",
doi = "10.1007/978-3-319-18117-2\_5",
language = "英语",
isbn = "9783319181165",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "66--77",
editor = "Alexander Gelbukh",
booktitle = "Computational Linguistics and Intelligent Text Processing - 16th International Conference, CICLing 2015, Proceedings",
address = "德国",
}