Handbook of latent semantic analysis
By T. Landauer, Danielle S. McNamara, Simon J. Dennis, Walter Kintsch. 2007
1,320 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/e181167dc005da9e19f7ff16b4707c828d043dfb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Scott Andrew Crossley
- Danielle S. McNamara
- Marco Baroni
- Alessandro Lenci
- Yoav Goldberg
- Peter D. Turney
- A. Graesser
- K. Kyle
Citations in the corpus
- Construct Overlap Between Employee Engagement and Job Satisfaction: A Function of Semantic Equivalence? (2015, methodology): “This space ‘‘uses a variety of texts, novels, newspaper articles, and other information from the Touchstone Applied Science Associated, Inc. (TASA) corpus used to develop The Educator’s Word Frequency Guide’’ (Dennis 2011, p. 69).”
- Lexical Sophistication as a Multidimensional Phenomenon: Relations to Second Language Lexical Proficiency, Development, and Writing Quality (2018, neutral): “…et al., 1973), the University of South Florida stimuli count index (Nelson,McEvoy, & Schreiber, 2004),McDonald’s co-occurrence probability (McDonald & Shillcock, 2001), Hoffman’s semantic diversity index (Hoffman, Ralph, &Rogers, 2013), and Latent Semantic Analysis values (Landauer et al., 2007).”
- The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion (2015, background): “These devices may include causal relations throughout a text (Graesser, McNamara, Louwerse, & Cai, 2004) and semantic similarity between paragraphs in a text (Foltz, 2007).”
- Model-Based Purchase Predictions for Large Assortments (2016, methodology): “01 (Steyvers and Griffiths, 2013), or by applying a grid search for α and β 0 (Asuncion et al., 2009).”
- Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features (2010, methodology): “These include an Inverse Weighted Word Frequency Overlap algorithm, Latent Semantic Analysis (Landauer et al. 2007), and a Speech Act Classifier (Olney et al. 2003).”