Manna, SukanyaMendis, B SumuduGedeon, Tamas (Tom)2015-12-10June 21-249783642136719http://hdl.handle.net/1885/54888In this paper, we present a method to generate an extractive summary from a single document using subjective logic. The idea behind our approach is to consider words and their co-occurrences between sentences in a document as evidence of their relatedness to the contextual meaning of the document. Our aim is to formulate a measure to find out 'opinion' about a proposition (which is a sentence in this case) using subjective logic in a closed environment (as in a document). Stronger opinion about a sentence represents its importance and are hence considered to summarize a document. Summaries generated by our method when evaluated with human generated summaries, show that they are more similar than baseline summaries.Keywords: Events; Evidence; Information extraction; Opinions; Subjective Logic; Summarization; Data mining Events; Evidence; Information extraction; Opinions; Subjective logic; Summarization201010.1007/978-3-642-13672-6_292016-02-24