With the increasing prevalence of unstructured online data generated (eg, social media,
online forums), mining them is important since they provide a genuine viewpoint of the …

In recent years, the number of published scientific papers has largely increased. The huge
amount of text in scientific papers is flowing relevant information that can lead to significant …

Topic modeling is the task of identifying topics in a corpus of documents. This is useful for
search engines, customer service automation, and any other situation where document …

In the present modern digital era, use of social media has been increasing exponentially.
People have started using short text for expressing their thoughts. Social media websites …

Due to the enormous growth of information and technology, the digitized texts and data are
being immensely generated. Therefore, identifying the main topics in a vast collection of …

Topic modeling is a Natural Language Processing technique that has gained popularity over
the last ten years, with applications in multiple fields of knowledge. However, there is …

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 …

The rise in social media's popularity has led to a significant increase in user-generated
content across various topics. Extracting information from these data can be valuable for …

This paper presents empirical evaluation of three most important topic modeling techniques—
latent semantic analysis, latent Dirichlet allocation and correlated topic modeling, The …

With the growth of online social network platforms and applications, large amounts of textual
user-generated content are created daily in the form of comments, reviews, and short-text …