Abstract: “As information overload grows day by day, systems that can automatically summarize documents becomes increasingly studied and used. In this paper we have given a novel statistical approach for text summarization of a single source document by sentence extraction using font features. We rank each sentence in the document by assigning a weight value to each word of the sentence and a boost factor is also added to those terms which appear in bold, italic or underlined or any combination of these features. In this paper we improved our result in comparison to our previous paper: [14]”

Keywords: Automatic text summarization, sentence extraction, boost factor, term weight