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Download full textCai, Zhiqiang; Graesser, Arthur C.; Windsor, Leah C.; Cheng, Qinyu; Shaffer, David W.; Hu, Xiangen – International Educational Data Mining Society, 2018
Latent Semantic Analysis (LSA) plays an important role in analyzing text data from education settings. LSA represents meaning of words and sets of words by vectors from a k-dimensional space generated from a selected corpus. While the impact of the value of k has been investigated by many researchers, the impact of the selection of documents and…
Descriptors: Semantics, Discourse Analysis, Computational Linguistics, Intelligent Tutoring Systems
