At the heart of this innovative senior thesis lies an ambitious effort to bridge two seemingly disparate fields: human psychology and data science. By leveraging advanced analytical techniques, the researcher has developed models that decode complex behavioral patterns, shedding light on cognitive processes through a computational lens. This work not only harnesses big data to interpret subtle psychological cues but also challenges traditional qualitative methods, offering a fresh perspective on how human thoughts and emotions can be quantified and understood.

Key components of the study include:

  • Behavioral Data Mining: Utilizing machine learning algorithms to identify patterns in large-scale…