We evaluated the GLSA representations on a number of tasks. We evaluated the GLSA representation for words on the synonymy test and the term pairs test; we evaluated the GLSA indexing and hybrid document indexing with GLSA on document classification, document clustering and text segmentation tasks. Our experiments showed that GLSA improves the results of the similarity based document classification and clustering algorithms and text segmentation algorithms. GLSA significantly outperformed the baseline and LSA on all applications that we used in our experiments.slO: General Motors Corp said Friday it was recalling 5, 600 1993-94 model Chevrolet Lumina, Pontiac, Trans Sport and ... or injuries related to the defect. sl7 : To correct the problem , GM said dealers will install a modified interior trim piece thatanbsp;...
|Title||:||Generalized Latent Semantic Analysis for Document Representation|
|Publisher||:||ProQuest - 2008|