Twevent: segment-based event detection from tweets

By Chenliang Li, Aixin Sun, Anwitaman Datta. International Conference on Information and Knowledge Management, 2012

375 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/8e077f000fb40cc82eda6f3ef89f24dc18eba604

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Carlos Castillo
2. Roei Schuster
3. Muhammad Imran
4. Fernando Diaz
5. Yoav Meri
6. Vitaly Shmatikov
7. Tal Schuster
8. Sarah Vieweg

In Information Systems

1. Sarah Vieweg
2. Fernando Diaz
3. Muhammad Imran
4. Roei Schuster
5. Carlos Castillo
6. Vitaly Shmatikov
7. Tal Schuster
8. Joseph Bonneau

In Statistical and Nonlinear Physics

1. Muhammad Imran
2. Fernando Diaz
3. Carlos Castillo
4. Sarah Vieweg
5. Vitaly Shmatikov
6. Alexandra Olteanu

Citations in the corpus

• Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning (2020, background): “For example, NER for tweets [45, 47, 59] can detect events or trends [44, 60].”
• Processing Social Media Messages in Mass Emergency (2014, background): “There are some examples of the processing of other types of information items during crises, including short messages (SMS) [Melville et al. 2013], news articles in traditional news media and blogs [Leetaru and Schrodt 2013], and images [Abel et al. 2012].”