Text Classification is a challenging and a red hot field in the current scenario and has great
importance in text categorization applications. A lot of research work has been done in this …

With the generation of enormous data day by day, the need of feature reduction has
tremendously increased in the field of text classification. In this direction, this paper presents …

In the current era, the feature reduction is an essential part of the classification algorithms,
methodologies and algorithms. When a set of features is extracted from a text document …

It is a big task to provide the accuracy of discovered relevance features in text documents for
describing user requirements. Classification of data is biggest issue in more text documents …

Most of the common techniques in text mining are based on the statistical analysis of a term,
either word or phrase. Statistical analysis of a term frequency captures the importance of the …

In this new and current era of technology, advancements and techniques, efficient and
effective text document classification is becoming a challenging and highly required area to …

As the size of the document collections are increasing day-by-day, finding an essential
document clusters for classification problem is one of the major problem due to high inter …

Due to the rapid growth of the Internet, large amounts of unlabelled textual data are
producing daily. Clearly, finding the subject of a text document is a primary source of …

Accurate, efficient and fast processing of textual data and classification of electronic
documents have become an important key factor in knowledge management and related …

Abstract Concept lattice is a useful tool for text extraction. The common text clustering
method fails to generate hierarchical relationships among categories and realize soft …