Computational Estimation of Personal Properties From Language
Author
Alsadhan, Nasser
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Research in natural language and other modalities is starting to shed light on individuals
personal properties. Estimating the personal properties of an individual or a group of individuals
is the task of detecting different behavioural signals and studying how they correlate
with personal properties such as mental health, personality, and emotions.
Multiple disciplines such as philosophy, psychology, sociology, and cognitive science
focus on defining and detecting personal properties. With the ease of data collection and
analysis, studying and analyzing personal properties has become an easier task. Computer
science can contribute to this on-going research by building computational models that
mimic or predict an individual/group’s personal properties.
This kind of research is done through studying two different behavioural signals. In my
research I focus on verbal signals by studying how language usage correlates with personal
properties. The other behavioural signal is non-verbal, such as body language, number of
friends, eating habits, etc.
The contribution of my thesis can be broken down to two parts: building tools to estimate
a set of individual/group’s personal properties from mainly online posts through their
language usage, and comparing the effectiveness of different data analytic tools/representations
in the space of personal properties.