A Petroleum Subject Collection Strategy Based on the Word co-occurrence Model and the DOM
Li Han · Microcomputer applications · 2008
This paper proposes a word co-occurrence model which bases on the DOM tree. At first , the model uses the structure information of the document to build a DOM tree, and then counts the co-occurrence information in the documents bases on the structure of the DOM tree ,finally implements collection and categorization for the petroleum subject. It improves the original word co-occurrence model and highlighted the character of positional information to optimize the word co-occurrence model. The experiment proves this strategy caused a certain enhancement for collection and categorization.