Efficient author community generation on Nlp based relevance feature detection

Abstract

Many researchers provided different feature discovery techniques, but that shows high time complexity according to the LDA process. It does not provided any user preference for document search history, to avoid this problem a NLP techniques is used. NLP provide maximum pattern for search input so it is generate maximum pattern output. Ranking of the each document is according to the new patterns that generated from NLP. Community generation of documents will be done based on the cluster information; It will help document users to find other documents in the domain. Cluster the whole documents using the technique and applying the advanced ranking. So that the advanced ranking of the relevant feature produce the author community generation process. so that authors can communicate each other.