The number of online documents has rapidly grown, and with the expansion Web, document analysis, or text become an essential task for preparing, storing, visualizing mining documents. texts generated daily on social media platforms such as Twitter, Instagram Facebook are vast unstructured. Most these come in form short need special analysis because suffers from lack information sparsity. Thus, ...

Due to the rapid development of internet technology, social media and popular research article databases have generated many open text information. This large amount textual information leads 'Big Data'. Textual can be recorded repeatedly about an event or topic on different websites. Text summarization (TS) is emerging field that helps produce summary from a single multiple documents. The redu...

Document clustering is useful in many information retrieval operations such as document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of documents, etc. The general goal of clustering is to group data elements such that the intra-group similarities are high and the inter-group similarities are low. Generative models based on the multivariate Berno...