LSI潜在语义标引方法在情报检索中的应用

介绍了一种基于词相依性的语义结构, 被称为“潜在语义标引”的文献自动标引和检索技术。采用词频统计和奇值分解技术来捕捉文献的语义结构, 得到标引词、提问和文献的向量表示, 检索系统可以预测文献与提问之间的相关度, 达到检索的目的。

Applying Latent Semantic Indexing to Information Retrieval System

This paper presents a new method of automatic indexing and retrieval.The approach is to take advantage of terms with documents (“latent semantic-structure”)in order to improve the detection of relevent documents on the basis of terms found in queries.A particular technique used is singular-value decomposition in which a large term-document matrix is decomposed into a set  of korthogonal factors.The original matrix can be approximated by linear combination from the factors set.Documents and queries are represented as vectors for med from weighted combinations of these factors. The relevancy prediction is achieved by comput ing the similarity of query and documents.