Near Neighbors -- compare nearby text
Matrix Comparison -- compare between text
Sentence Comparison -- compare between sentences
One-To-Many Comparison -- compare one text to multiple
Pairwise Comparison -- compare similar text


Claremont Graduate University

- Measures sentence-to-sentence coherence: compare terms from a sentence to a database of words

- Compare sequence of sentences in a text (Nestojko, 2014)

- Not a language processing or AI program (Landauer, 1998)


Latent Semantic Analysis (LSA)-- Function

Colorado University Boulder. (2015, June). Applications. Latent Semantic Analysis. http://lsa.colorado.edu/ 


 Latent Sementic Analysis--Applications

- LSA can be used for finding the appropriate difficulty of text for learners, score essays, and summarize readings
- Education Text Selections -Predict how much readers will learn based on readers’ knowledge of the given topic and information from the reading
- Essay Scoring -Score mainly determined through conceptual relevance and relevant content - Consistency with human graders
- Summary Scoring -Evaluate students’ summary and provide feedback to students’ learning

Latent Semantic Analysis (LSA) Website

Latent Semantic Analysis (LSA) Applications

LSA adept in essential human’s cognitive function to understand passages’ meaning: 
- 1) Recognizing words 
- 2) Word-categorization 
- 3) sentence-word semantic priming 
- 4) Discourse comprehension 
- 5) Examine essays’ quality

Latent Semantic Analysis (LSA) Advantages

- Cognitive abilities lacking from humans: detailed and complex order information used in syntax and logic

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