Text clustering is an efficient analysis technique used in the domain of the text mining to
arrange a huge of unorganized text documents into a subset of coherent clusters. Where, the …

Document clustering is a technique which groups similar content documents from the
collection. It can further be extended to extract topics of each groups. Document clustering …

1. Background With the immense growth of online information due to Internet, text-
categorization has become a very significant technology to classify a large number of …

Feature clustering is a powerful method to reduce the dimensionality of feature vectors for
text classification. In this paper, we propose a fuzzy similarity-based self-constructing …

Owing to scientific development, a variety of challenges present in the field of information
retrieval. These challenges are because of the increased usage of large volumes of data …

The large amount of text information on the Internet and in modern applications makes
dealing with this volume of information complicated. The text clustering technique is an …

Finding the appropriate number of clusters to which documents should be partitioned is
crucial in document clustering. In this paper, we propose a novel approach, namely DPMFP …

Text classification, as part of text mining domain, is the problem of classifying text documents
into a set of predefined classes. After extracting the features, documents are represented as …

Big Data means a very large amount of data and includes a range of methodologies such as
big data collection, processing, storage, management, and analysis. Since Big Data Text …

Increasing progress in numerous research fields and information technologies, led to an
increase in the publication of research papers. Therefore, researchers take a lot of time to …