@inproceedings{c98c323902ea46558e5c6d57a1fa94f8,
title = "How important is size? An investigation of corpus size and meaning in both Latent Semantic Analysis and Latent Dirichlet Allocation",
abstract = "This study examines how differences in corpus size influence the accuracy of Latent Semantic Analysis (LSA) spaces and Latent Dirichlet Allocation (LDA) spaces in two tasks: a word association task and a vocabulary definition test. Specific optimizations were considered in building each semantic model. Initial results indicate that larger corpora lead to greater accuracy and that LDA probabilistic models, similar to LSA vector spaces, can provide insights into cognitive processing at semantic levels.",
author = "Crossley, {Scott A.} and Mihai Dascalu and Danielle McNamara",
note = "Publisher Copyright: Copyright {\textcopyright} 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 30th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017 ; Conference date: 22-05-2017 Through 24-05-2017",
year = "2017",
language = "English (US)",
series = "FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference",
publisher = "AAAI press",
pages = "293--296",
editor = "Vasile Rus and Zdravko Markov",
booktitle = "FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference",
}