Generation of Word Clouds Using Document Topic Models

Many Scientific and Engineering Applications deals with the processing of large documents for data collection and analysis. As more information is available, it becomes very difficult to access the data from large documents. So we need some techniques to organize, search and understand vast quantities of information. Topic Modeling serves as an efficient method for accessing the data. In this paper, Document Topic Modeling approach has been proposed to generate topics and word cloud from the large collection of textual information.