Special Issue — Best Papers from the Workshops Co-Located with the 11^th IEEE International Conference on Semantic Computing (ICSC 2017); Guest Editors: S. Bansal, C. C. Gattaz, R. Mertens, F. Persia, G. Pilato and G. G. ZhangNo Access

A Comparison on the Use of LSA and LDA in Psychology Analysis on “Courage” Definitions

Sara Santilli

FISPPA – Dipartimento Di Filosofia, Sociologia, Pedagogia e Psicologia Applicata, University of Padova, Padova, Italy

E-mail Address: sara.santilli@studenti.unipd.it

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Laura Nota

FISPPA – Dipartimento Di Filosofia, Sociologia, Pedagogia e Psicologia Applicata, University of Padova, Padova, Italy

E-mail Address: laura.nota@unipd.it

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, and

Giovanni Pilato

ICAR-CNR, Via U. La Malfa 153, Palermo, Italy

E-mail Address: giovanni.pilato@cnr.it

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https://doi.org/10.1142/S1793351X17400153Cited by:2 (Source: Crossref)

Abstract

In the present work Latent Semantic Analysis of textual data was applied on texts related to courage, in order to compare and contrast results and evaluate the opportunity of integrating different data sets. To better understand the definition of courage in Italian context, 1199 participants were involved in the present study and was asked to answer to the following question “Courage is $\dots$ ”. The participants’ definitions of courage were analyzed with the Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), in order to study the fundamental concepts arising from the population. An analogous comparison with Twitter posts has been also carried out to analyze if the public opinion emerging from social media provides a challenging and rich context to explore computational models of natural language.

Keywords:

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