The understanding and analyzing of available content on Social media Platforms such as
Twitter and Facebook, through various topic modeling methods is not supervised. However …

The alarm data contain abundant fault information related to almost all components of the
wind turbine. Reasonable analysis and utilization of alarm data can assist wind farm …

Detecting the communicative intent behind user queries is critically required by search
engines to understand a user's search goal and retrieve the desired results. Due to …

The online channel has affected many facets of an individual's identity, commercial, social
policy, and culture, among others. It implies that discovering the topics on which these brief …

Document clustering is to group documents according to certain semantic features. Topic
model has a richer semantic structure and considerable potential for helping users to know …

In this work, a simple yet robust neighboring-aware hierarchical-based clustering approach
(NHC) is developed. NHC employs its dynamic technique to take into account the …

Internet use has become increasingly widespread nowadays. In addition, there is a
significant increase in the amount of text content produced in digital media. However, the …

X (formerly known as Twitter) is a popular social network with hundreds of millions of users.
We emphasize the benefits of using emojis to enhance the comprehension of user …

Document clustering and topic modelling methods are useful in determining groups of
semantically similar documents. In literature, various studies have been conducted to …

Ensuring the privacy and safety of platform users has become a complex objective due to
the emerging threats that surround any type of network, software, and hardware. Scams …