Oct 15, 2012 · The proposed method is based on a neural network that is used to detect outliers from a time series, which is built upon statistical data from ...

A new method to analyze the massive volume of messages available in Twitter to identify places in the world where topics such as TV shows, climate change, ...

Jan 6, 2015 · In this paper, we propose a new method to analyze the massive volume of messages available in Twitter to identify places in the world where ...

Oct 15, 2012 · Abstract. The increasing use of social networks generates enormous amounts of data that can be used for various types of analysis.

In this paper, we propose a new method to analyze the massive volume of messages available in Twitter to identify places in the world where events such as TV ...

This paper proposes a system for the early detection of emerging events by grouping micro-blog messages into events and using the message-mentioned ...

Crowd sourced event localization monitors the microblogging pattern of the people, who are considered as “social sensors”.

In order to accomplish this, we analyze common patterns of occurrence in each region over a specified time period employing K-means based micro-blog clustering.

We propose a system for detecting local events in the real-world using geolocation information from microblog documents.

This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation.