Using LSA and PLSA for Text Quality Analysis
Xiaohua Ke, Haijiao Luo · Advances in computer science research · 2015
This paper evaluates the variances of Latent Semantic Analysis (LSA) and Probability Latent Semantic Analysis (PLSA) using EM method on judging text qualities as automated essay (AES) scoring tools.A correlation research design was used to examine the correlation between LSA performance and PLSA performance.Results from the data analyses showed that there was a significant correlation between LSA performance and PLSA performance.Implications of our research for AES reveal that both LSA and PLSA have limited capability at this point and more reliable measures for automated essay analyzing and scoring, like text formats and forms still need to be a part of the text quality analysis.