Over this past summer, I had the privilege of working under the mentorship of Dr. Atkinson and Dr. Li at the Memorial Sloan Kettering Cancer Center. The objective of this research study was to evaluate the ways in which active and passive music therapy is perceived and experienced by patients with cancer through qualitative interviews. After conducting and transcribing interviews with patients who received music therapy, each line of the interview was subsequently categorized into thematic categories. Then, the bidirectional encoder representations from transformers which is also more colloquially referred to as BERT, was trained. This is the machine learning text analysis and classification method that will be used in this research. At the current time, there are no results yet as we are still in the preliminary stages of this research endeavor. More time will be needed to run the program and acquire results. However, it can be noted that technology is evolving to become more and more significant to furthering research in medicine and music therapy has proven its benefits and should continue to be implemented in the clinical setting.