Using LSA and PLSA for Text Quality Analysis

DOI

10.2991/esac-15.2015.70How to use a DOI?

Keywords

LSA, PLSA, EM method, AES

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaohua Ke
AU  - Haijiao Luo
PY  - 2015/08
DA  - 2015/08
TI  - Using LSA and PLSA for Text Quality Analysis
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 289
EP  - 291
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.70
DO  - 10.2991/esac-15.2015.70
ID  - Ke2015/08
ER  -