Digital Text Document Clustering Using Frog Leaping Feature Optimization

Seema Pal; Professor Sumit Sharma

Digital Text Document Clustering Using Frog Leaping Feature Optimization

Author : Seema Pal, Professor Sumit Sharma Journa Name: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH AND ENGINEERING TRENDS Country : India Volume: 10 issue: 3 Year: 2024 Views : 524

Abstract:

As the amount of online digital text, like blogs, study content, and news, has grown, it has become harder to find the information one need. Here, the search process is made more difficult by information that is not structured, especially text content. Researchers have come up with a number of models for grouping, but the unstructured model is the one that is most wanted. This paper has proposed a model that cluster text document as per relevant content. Each document terms are filter by frog leaping algorithm that do not need any supporting information. Selected terms were used for the training of neural network. Experiment was done on real dataset and result shows that proposed model has increases the work performance as compared to other existing work.