@inproceedings{96f2b595d8774674af6c653029848a37,
title = "Sentiment analysis of twitter users over time: The case of the Boston bombing tragedy",
abstract = "Social Network Services (SNS), for example Twitter, play a significant role in the way people share their emotions about specific events. Emotions can spread via SNS and can spur people{\textquoteright}s future actions. Therefore, during extreme events, disaster response agencies need to manage emotions appropriately via SNS. In this research, we investigate the Twitter verse associated with an event - the Boston Bombing context. We focus on tweets in the context of hazard-describing keywords (Explosion, Bomb), important event timelines, and the related changes in emotions over time. We compare the results with a corpus of tweets collected at the same time that are not associated with the above hazard- describing keywords. A sentiment analysis shows anger was the most strongly expressed emotion in both groups. However, there were statistical differences in Anxiety and Sadness among the two groups over time.",
keywords = "Announcement, Big data, Disaster response, Emotion spread, Social media",
author = "Jaeung Lee and Rehman, \{Basma Abdul\} and Manish Agrawal and \{Raghav Rao\}, H.",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 15th Workshop on e-Business on E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life, WEB 2015 ; Conference date: 12-12-2015 Through 12-12-2015",
year = "2016",
doi = "10.1007/978-3-319-45408-5\_1",
language = "English",
isbn = "9783319454078",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Verlag",
pages = "1--14",
editor = "Vijayan Sugumaran and Victoria Yoon and Shaw, \{Michael J.\}",
booktitle = "E-Life",
address = "Germany",
}