عنوان مقاله :
مرروي بر نمايه سازي معاني پنهان : نظريه و كاربردها
عنوان به زبان ديگر :
An Overview of Latent Semantic Indexing: Theory and Applications
پديد آورندگان :
دستغيب ، محمدباقر نويسنده ,
كليدواژه :
بازيابي اطلاعات , SVD , تجزيه مقدار ويژه , LSI , نمايه سازي معاني پنهان , information retrieval
چكيده لاتين :
Latent Semantic Indexing (LSI) is an information retrieval method that organizes information into a semantic structure that takes advantage of some of the implicit higher-order associations of words with text objects. The resulting structure reflects the major associative patterns in the data while ignoring some of the smaller variations that may be due to idiosyncrasies in the word usage of individual documents. This permits retrieval based on the latent semantic content of documents rather than just on keyword matches. In this paper we review theory and applications of LSI in information retrieval systems.
كلمات كليدي :
#تست#آزمون###امتحان
