关键词: 隐含语义索引, 奇异值分解, 文本分类, 信息抽取

Abstract: This paper presents a new implementation of information retrieval and automatic classification. In order to overcome the shortage of traditional methods, an improved classification based on latent semantic indexing is introduced. LSI is a new retrieval model based on Singular Value Decomposition (SVD). Using the algorithm, every term will be either strengthened or weakened. When the latent semantic becomes clearer, it is easy to cut off most of the noisy data at the very beginning. So the accuracy of classification will be improved.

Key words: Latent Semantic Indexing, Singular Value Decomposition, Text Classification, Information Retrieval