The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text

Edgar Altszyler, Sidarta Ribeiro, Mariano Sigman, Diego Fernández Slezak
2017 Consciousness and Cognition  
Word embeddings have been extensively studied in large text datasets. However, only a few studies analyze semantic representations of small corpora, particularly relevant in single-person text production studies. In the present paper, we compare Skip-gram and LSA capabilities in this scenario, and we test both techniques to extract relevant semantic patterns in single-series dreams reports. LSA showed better performance than Skip-gram in small size training corpus in two semantic tests. As a
more » ... dy case, we show that LSA can capture relevant words associations in dream reports series, even in cases of small number of dreams or low-frequency words. We propose that LSA can be used to explore words associations in dreams reports, which could bring new insight into this classic research area of psychology
doi:10.1016/j.concog.2017.09.004 pmid:28943127 fatcat:d6pfu3muwzfo5g6cj66t5z3ic4