Outliers are also referred to as abnormalities, discordants, deviants, or anomalies in the data
mining and statistics literature. In most applications, the data is created by one or more …

Social media platforms provide active communication channels during mass convergence
and emergency events such as disasters caused by natural hazards. As a result, first …

Since an ever-increasing part of the population makes use of social media in their day-to-
day lives, social media data is being analysed in many different disciplines. The social …

Twitter is among the fastest‐growing microblogging and online social networking services.
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …

Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

Twitter messages are increasingly used to determine consumer sentiment towards a brand.
The existing literature on Twitter sentiment analysis uses various feature sets and methods …

Analyzing user messages in social media can measure different population characteristics,
including public health measures. For example, recent work has correlated Twitter …

Short-term traffic parameter forecasting is critical to modern urban traffic management and
control systems. Predictive accuracy in data-driven traffic models is reduced when exposed …

Twitter is a microblogging tool that allow the creation of big data through short digital
contents. This study provides a survey of machine learning techniques for hate speech …

Twitter, as a form of social media, is fast emerging in recent years. Users are using Twitter to
report real-life events. This paper focuses on detecting those events by analyzing the text …