Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data: Challenges and Experiences
Document Type
Presentation
Abstract
We present work in the spatio-temporal-thematic analysis of citizen-sensor observations pertaining to real-world events. Using Twitter as a platform for obtaining crowd-sourced observations, we explore the interplay between these 3 dimensions in extracting insightful summaries of social perceptions behind events. We present our experiences in building a web mashup application, Twitris that extracts and facilitates the spatio-temporal-thematic exploration of event descriptor summaries.
Digital Object Identifier (DOI)
Publication Info
Published in International Conference on Web Information Systems Engineering, 2009, pages 539-553.
© Nagarajan, M., Gomadam, K., Sheth, A. P., Ranabahu, A. H., Mutharaju, R., & Jadhav, A. S., 2009
APA Citation
Nagarajan, M., Gomadam, K., Sheth, A. P., Ranabahu, A. H., Mutharaju, R., & Jadhav, A. S. (2009). Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data: Challenges and Experiences. Lecture Notes in Computer Science, 5802, 539-553.
https://corescholar.libraries.wright.edu/knoesis/359