Recently, Question answering system is a major research area in language processing.
Bengali isone of the most popular spoken languages in India. Still, it has faced difficulties in …

Document clustering is the compilation of docu-ments relating to textual content into classes
or clusters. The primary objective is to group the documents that are internally logical but …

We present algorithm for keyword extraction from a Bengali document. In natural language
processing (NLP), keyword extraction is the automated process to identify a set of terms that …

Methods and systems for using machine learning to deter mine electronic document
similarity include extracting enti ties and corresponding relationships from each of two elec …

Abstract Natural Language Processing has ushered in a revolutionary improvement in
making intelligent systems for various purposes using machine learning techniques to …

Architectures are critical to the Information System (IS) domain because they represent
funda-mental structures and interactions of systems. Since analysing architecture similarities …

Due to the enormous growth of information and technology, the digitized texts and data are
being immensely generated. Therefore, identifying the main topics in a vast collection of …

Document clustering is a machine learning approach to categorize documents into related
groups without any definition to the documents prior to the process. It helps to categorize …

Text clustering is an active research area. It has various applications in information retrieval,
text summarization, etc. Most existing works on document clustering have been carried out …

References 1. Ahmad, A., Amin, MR, and Chowdhury, F. (2018). Bengali document clustering
using word movers distance. In 2018 Page 1 YANG ET AL. RELIABLE CLASSIFICATIONS …