Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …

Early prediction of seasonal epidemics such as influenza may reduce their impact in daily
lives. Nowadays, the web can be used for surveillance of diseases. Search engines and …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

We present the first shared task on detecting the intensity of emotion felt by the speaker of a
tweet. We create the first datasets of tweets annotated for anger, fear, joy, and sadness …

Twitter as a new form of social media can potentially contain much useful information, but
content analysis on Twitter has not been well studied. In particular, it is not clear whether as …

Accurate prediction of demographic attributes from social media and other informal online
content is valuable for marketing, personalization, and legal investigation. This paper …

This paper examines the task of detecting intensity of emotion from text. We create the first
datasets of tweets annotated for anger, fear, joy, and sadness intensities. We use a …

Micro-blogs are a challenging new source of information for data mining techniques. Twitter
is a micro-blogging service built to discover what is happening at any moment in time …

On the microblogging site Twitter, users can forward any message they receive to all of their
followers. This is called a retweet and is usually done when users find a message …

As the social networking sites get more popular, spammers target these sites to spread
spam posts. Twitter is one of the most popular online social networking sites where users …