Automatic Text Summarization (ATS), utilizing Natural Language Processing (NLP)
algorithms, aims to create concise and accurate summaries, thereby significantly reducing …

In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …

As social media continue to grow, the zeitgeist of society is increasingly found not in the
headlines of traditional media institutions, but in the activity of ordinary individuals. The …

Twitter enables large populations of end-users of software to publicly share their
experiences and concerns about software systems in the form of micro-blogs. Such data can …

With the explosive growth of microblogging services, short-text messages (also known as
tweets) are being created and shared at an unprecedented rate. Tweets in its raw form can …

Using semantic technologies for mining and intelligent information access to social media is
a challenging, emerging research area. Traditional search methods are no longer able to …

Microblogging services have revolutionized the way people exchange information.
Confronted with the ever-increasing numbers of social events and the corresponding …

Mobile application (app) reviews contain valuable information for app developers. A
plethora of supervised and unsupervised techniques have been proposed in the literature to …

Sharing Economy apps, such as Uber, Airbnb, and TaskRabbit, have generated a
substantial consumer interest over the past decade. The unique form of peer-to-peer …