Perm, Russian Federation
VAK Russia 5.9.8
Emoji are easily comprehensible graphical symbols that represent emotions and moods in digital communication. However, internet users may interpret them according to their own social and psychological background. This research featured the effect of gender and emotional intelligence on emoji interpretation. The survey results were processed by the methods of psychodiagnostics and vector semantics to reveal the co-effect of social and psychological parameters on semiotic comprehension. The method of text vectorization employed the TF-IDF statistics to extract the keywords for each emoji, which were then subjected to statistical analysis using the Mann-Whitney U-test and p-value correction. The gender differences appeared to be more relevant for positive symbols while the level of emotional intelligence was important for both positive and negative emoji. The Monte Carlo method confirmed the reliability of the correlations obtained. As the relevance of emoji in online communication keeps growing, these results may facilitate the automatic sentiment analysis of digital messages.
emoji, emotional intelligence, gender, TF-IDF, text vectorization, digital communication
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