An Information Retrieval Method Based on Language Concept Space Using Clustering Method
Quan Zhang · Jisuanji gongcheng · 2007
An information retrieval model based on language concept space and a clustering method which serves the IR model is propsed.The clustering method uses curve-fitting to implement the text clustering by auto threshold-detection means,and complete the whole clustering process through result revising phase.The use of word concept can reduce the word sense ambiguity as drastically as possible when processing the text.The experiments indicate that the method presented in this paper has good performance.Compared with Jelinek-Mercer smoothing model and k-means model,the precision and the recall of the system are higher to a certain degree.