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What factor affect LSA? 


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Factors that affect Latent Semantic Analysis (LSA) include the dimensions of the semantic space, the size of the training data sets, and the weighting of answers' terms in the Multiple Choice Questions task . The performance of LSA can be influenced by the dimensions of the semantic space and the size of the training data sets, with optimal parameters leading to surprisingly good results . Additionally, the weighting of answers' terms in the Multiple Choice Questions task, using an original entropy global weighting, was found to be necessary for the success of the model . The average size of surface features was shown to have an impact on the fractional intensity of variations in diffuse light and the quality of LSA signature match in laser surface authentication (LSA) . The degradation of LSA oscillations at high frequencies is influenced by the relaxation effect for intervalley scattering of electrons .

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Journal ArticleDOI
T. Ohmi, K. Murayama, H. Kanbe 
01 Apr 1968
3 Citations
The factor that affects LSA oscillations is the relaxation effect for intervalley scattering of electrons. This effect has a significant influence on LSA oscillations at high frequencies.
The paper does not explicitly mention the factors that affect LSA. The paper primarily focuses on the design and simulation of SAR imaging systems on LSA.
Open accessJournal ArticleDOI
02 Nov 2008-arXiv: Learning
22 Citations
The paper discusses the effects of factors that significantly influence the performance of Latent Semantic Analysis (LSA) in answering multiple choice questions.
The average size of the surface features affects the fractional intensity of the variations in diffuse light and the quality of LSA signature match.
The paper does not explicitly mention the factors that affect LSA.

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