Topic Detection By Clustering Keywords
The large quantum of information makes it necessary to find out methods and tools to summarize them. This research work is to propose a method, which collect topic using a specific keyword and then, summarizes them to find out topics related to that keyword. The topic detection is done by using clusters of frequent patterns. Already existing pattern oriented topic detection techniques suffer from the wrong correlation problem of patterns.
Topic detection without any prior knowledge of category structure or possible categories. Keywords are extracted and clustered based on different similarity measures using the clustering algorithm. In particular, a newly proposed term distribution taking co-occurrence of terms into account gives best results.