This paper presents a comprehensive survey of the meta-heuristic optimization algorithms
on the text clustering applications and highlights its main procedures. These Artificial …

Text clustering is one of the efficient unsupervised learning techniques used to partition a
huge number of text documents into a subset of clusters. In which, each cluster contains …

Because of the proliferation of Nepali textual documents online, researchers in Nepal and
overseas have started working towards its automated analysis for quick inferences, using …

Automatic text summarization plays a vital role in text retrieval. However, very little interest,
as well as attention to Hindi text summarization and the wide use of hybridization of an …

Clustering is the process of partitioning a set of data objects into subsets. It is commonly
used technique in data mining, information retrieval, and knowledge discovery for finding …

This chapter provides an in-depth overview of the metaheuristic optimization algorithms
used in the domain of document/text clustering as well as a description of their main …

In the present era of technology, most of the human activities are controlled and monitored
by the electronic devices and still, people are working for more advanced technology and …

Supervised machine learning and opinion lexicon are the most frequent approaches for
opinion mining, but they require considerable effort to prepare the training data and to build …

It is very important to create the conference programs correctly in terms of timing and content
by preventing problems such as being of articles that do not have a common topic with each …

In an attempt to expand the inclusiveness of Natural Language Processing, this paper
focuses on developing resources and building machine learning models to identify four …