A Study on the Architecture for Text Categorization and Summarization

In this paper, an architecture which provides the searching techniques by combining text categorization and text summarization for documents searching is proposed. Term Frequency and Inverse Document Frequency (TFIDF) style equation combining with various machine learning techniques are used for text categorization and text summarization. Here “n” documents are considered and are searched. Search results are displayed along with the subjectivity of the document, so that get the searched documents along with their subjectivity and fastly identify his wanted document.