Online social media such as Twitter are growing so rapidly. Recently, Twitter has become
one of the popular microblogging services on the Internet. It lets millions of users to …

In natural language processing, short-text semantic similarity (STSS) is a very prominent
field. It has a significant impact on a broad range of applications, such as question …

Short text classification is a challenging task in natural language processing. Existing
traditional methods using external knowledge to deal with the sparsity and ambiguity of short …

In the past decades, personalized recommendation systems have attracted a vast amount of
attention and researches from multiple disciplines. Recently, for the powerful ability of …

Detecting cybersecurity intelligence (CSI) on social media such as Twitter is crucial because
it allows security experts to respond cyber threats in advance. In this paper, we devise a new …

The purpose of this study was to develop an automated, RULA-based posture assessment
system using a deep learning algorithm to estimate RULA scores, including scores for wrist …

In past few years, the popularity of social media has increased drastically, sentiment
analysis on the reviews, comments and opinions from social media has become more active …

Face recognition is a popular and efficient form of biometric authentication used in many
software applications. One drawback of this technique is that it is prone to face spoofing …

Keyword extraction is a critical task that enables various applications, including text
classification, sentiment analysis, and information retrieval. However, the lack of a suitable …

Users from all over the world increasingly adopt social media for newsgathering, especially
during breaking news. Breaking news is an unexpected event that is currently developing …