Researchers in fields such as sociology, demography and public health, have used data
from social media to explore a diversity of questions. In public health, researchers use data …

Twitter, a microblogging online social network (OSN), has quickly gained prominence as it
provides people with the opportunity to communicate and share posts and topics …

Social media are well-established means of online communication, generating vast amounts
of data. In this paper, we focus on Twitter and investigate behavioural differences between …

Sentiment analysis is a very popular application area of text mining and machine learning.
The popular methods include support vector machine, naive bayes, decision trees, and …

Sentiment analysis aims to identify the polarity of a document through natural language
processing, text analysis and computational linguistics. Over the last decade, there has been …

Increasingly content sharing websites such as social media have become very popular in
many countries across the world. Classifying the gender of a person based on these short …

Text mining has been a popular research topic in the field of natural language processing.
With the emergence of Web 2.0 and the development of social software, the amount of text …

Twitter provides a simple way for users to express feelings, ideas and opinions, makes the
user generated content and associated metadata, available to the community, and provides …

In order to keep their vibrancy, community question-answering platforms need to link,
especially open, questions with members, who might be interested in answering or in …

The wide use of social media sites and other digital technologies have resulted in an
unprecedented availability of digital data that are being used to study human behavior …