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We investigate what distinguishes reported dreams from other personalnarratives. The continuity hypothesis, stemming from psychological dreamanalysis work, states that most dreams refer to a person's daily life andpersonal concerns, similar to other personal narratives such as diary entries.Differences between the two texts may reveal the linguistic markers of dreamtext, which could be the basis for new dream analysis work and for theautomatic detection of dream descriptions. We used three text analyticsmethods: text classification, topic modeling, and text coherence analysis, andapplied these methods to a balanced set of texts representing dreams, diaryentries, and other personal stories. We observed that dream texts could bedistinguished from other personal narratives nearly perfectly, mostly based onthe presence of uncertainty markers and descriptions of scenes. Importantmarkers for non-dream narratives are specific time expressions andconversational expressions. Dream texts also exhibit a lower discoursecoherence than other personal narratives.

Unraveling reported dreams with text analytics