Peter W. Foltz

TL;DR: The adequacy of LSA's reflection of human knowledge has been established in a variety of ways, for example, its scores overlap those of humans on standard vocabulary and subject matter tests; it mimics human word sorting and category judgments; it simulates word‐word and passage‐word lexical priming data.

TL;DR: The approach for predicting coherence through reanalyzing sets of texts from 2 studies that manipulated the coherence of texts and assessed readers’ comprehension indicates that the method is able to predict the effect of text coherence on comprehension and is more effective than simple term‐term overlap measures.

TL;DR: T h e score for e ach new T M was t he cos ine b e t w e e n t he T M vec tor a n d the nearest i n t e r e s t vector .

Abstract: The present invention is a methodology for analyzing and evaluating a sample text, such as essay(s), or document(s) This methodology compares sample text to a reference essay(s), document(s), or text segment(s) within a reference essay or document The methodology analyzes the amount of subject-matter information in the sample text, analyzes the relevance of subject matter information in the sample and evaluates the semantic coherence of the sample This methodology presumes there is an underlying, latent semantic structure in the usage of words The method parses and stores text objects and text segments from the sample text and reference text into a two-dimensional data matrix A weight is computed for each text object and applied to each data matrix cell value The method performs a singular value decomposition on the data matrix, which produces three trained matrices The method computes a vector representation of the sample text and reference text using the three trained matrices The methodology compares the sample text to the reference text by computing the cosine between the vector representation of the sample text and the vector representation of the standard reference text Alternatively, the dot product is used to compare the sample text to the standard reference text A grade is assigned to the sample text based on the degree of similarity between the sample text and the standard reference text

TL;DR: This paper summarizes three experiments that illustrate how LSA may be used in text-based research by describing methods for analyzing a subject’s essay for determining from what text a subject learned the information and for grading the quality of information cited in the essay.