An Efficient Technique to Improve Snippet Clustering and Labeling using Modified FPF Algorithm

摘要: Document clustering is an effective tool to manage information overload. By grouping similardocuments together, we enable a human observer quickly browse large document collections,make it possible easily grasp the distinct topics and subtopics. In this Paper survey most important problems techniques relatedto text retrieval: pre-processing filtering, word sense disambiguation,Further present using Modified FPF algorithm comparison of our algorithms against FPF, which isthe used in context. Further introducethe problem cluster labeling: Cluster labeling achieved by combining intra-clusterand