A Comparison of LSA and LDA for the Analysis of Railroad Accident Text

Author:

Williams Trefor,Betak John

Publisher

Elsevier BV

Subject

General Engineering

Reference9 articles.

1. Applying Topic Modeling to Railroad Grade Crossing Accident Reports. In: Joint Rail Conference 2015;William;Mar 23-26, San Jose, CA; New York: American Society of Mechanical Engineers,2015

2. Text Mining Analysis of Railroad Accident Investigation Reports. In: Joint Rail Conference 2016;Williams;April 12-15, Columbia, SC; New York: American Society of Mechanical Engineers,2016

3. Identifying Themes in Railroad Equipment Accidents Using Text Mining and Text Visualization;Williams;2016 In: International Conference on Transportation and Development, Jun 26-29, 2016; Washington: American Society of Civil Engineers,2016

4. Text Mining the Contributors to Railroad Accidents;Brown;IEEE Transactions on Intelligent Transportation Systems,2016

5. A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge;Landauer;Psychol Rev,1997

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