We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Segmentation has been a rooted area of research having diverse dimensions. The roots of
image segmentation and its associated techniques have supported computer vision, pattern …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

In situations of crisis, governments must acknowledge that communication is a major
weapon in their armoury, and can be used to convince the public to accept sometimes …

Extensive work has been done on different activities of natural language processing for
Western languages as compared to its Eastern counterparts particularly South Asian …

Probabilistic topic modeling of text collections has been recently developed mainly within
the framework of graphical models and Bayesian inference. In this paper we introduce an …

The current COVID-19 crisis is unprecedented in recent history. On April 1, 2020, the
Secretary-General of the United Nations, Antonio Guterres, warned that the world was facing …

The increasing utilization of virtual teams—driven by advancements in information and
communication technology and the forces of globalization—has spurred significant growth in …

Japan's plan to dump nuclear wastewater into the sea has generated a tremendous amount
of discussion on social media due to the potential wide-ranging impact. To our knowledge …

Topic modeling includes a variety of machine learning techniques for identifying latent
themes in a corpus of documents. Generating an exact solution (ie, finding global optimum) …