Semantic Keyword Detection of Web Document
Source: University of Aizu
This paper deals with a method for semantic keyword detection of web documents. While the paper consists of many kinds of part-of-speech, the authors just consider noun words. They propose a method for measure of relation value that represents relationship between words occurred in the document using WordNet. They calculate concept weight that measures semantic importance of words by using term frequency and relation value together. According to the concept weight, they detect the 10 keywords of document in order.