Recently, due to the huge growth of web pages, social media and modern applications, text
clustering technique has emerged as a significant task to deal with a huge amount of text …

Text documents clustering is a popular unsupervised text mining tool. It is used for
partitioning a collection of text documents into similar clusters based on the distance or …

Supervised machine learning (ML) and lexicon-based are the most frequent approaches for
opinion mining (OM), but they require considerable effort for preparing the training data and …

Abstract Background/Objective: Unsupervised learning of text documents is an essential and
significant process of knowledge discovery and data mining. The concept, context and …

Clustering is one of the phenomenal process towards information retrieval and knowledge
discovery. Cluster optimality is still a questionable factor for current benchmarking clustering …

Evolutionary algorithm is a field of great interest to many researchers. Many new algorithms
are being developed based on the biological processes in nature. Many variants of the …

Document clustering, which involves concepts from the fields of information retrieval,
automatic topic extraction, natural language processing, and machine learning, is one of the …

In the unsuprevised learning method of text mining process that is in prevalence, the issues
pertaining to multi dimensionality is turning out to be a major factor, as the clustering is not …