Discovering users' topics of interest on twitter: a first look

By M. Michelson, Sofus A. Macskassy. Workshop on Analytics for Noisy Unstructured Text Data, 2010

386 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/da656b31b6bb4cc987046d9c2de308154a4bab7d

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. Aristides Gionis
2. Claudio Lucchese
3. Gianmarco De Francisci Morales
4. Xing Xie

In Information Systems

1. Aristides Gionis
2. Claudio Lucchese
3. Gianmarco De Francisci Morales
4. Xing Xie

In Statistical and Nonlinear Physics

1. Aristides Gionis
2. Claudio Lucchese
3. Gianmarco De Francisci Morales
4. Xing Xie

Citations in the corpus

• From chatter to headlines: harnessing the real-time web for personalized news recommendation (2012, background): “A basic approach for building topic-based user profiles from tweets is proposed by Michelson and Macskassy [19].”