Unraveling reported dreams with text analytics

Iris Hendrickx, Louis Onrust, Florian Kunneman, Ali Hürriyetoglu, Wessel Stoop, A. van den Bosch

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgaveArtikelWetenschappelijkpeer review


We investigate what distinguishes reported dreams from other personal narratives. The continuity hypothesis, stemming from psychological dream analysis work, states that most dreams refer to a person’s daily life and personal concerns, similar to other personal narratives such as diary entries. Differences between the two texts may reveal the linguistic markers of dream text, which could be the basis for new dream analysis work and for the automatic detection of dream descriptions. We used three text analytics methods: text classification, topic modeling, and text coherence analysis, and applied these methods to a balanced set of texts representing dreams, diary entries, and other personal stories. We observed that dream texts could be distinguished from other personal narratives nearly perfectly, mostly based on the presence of uncertainty markers and descriptions of scenes. Important markers for non-dream narratives are specific time expressions. Dream texts also exhibit a lower discourse coherence than other personal narratives.
Originele taal-2Engels
TijdschriftDigital Humanities Quarterly
Nummer van het tijdschrift4
StatusGepubliceerd - 2017


Duik in de onderzoeksthema's van 'Unraveling reported dreams with text analytics'. Samen vormen ze een unieke vingerafdruk.

Citeer dit