Trauma and Stress Associated With Breast Cancer Survivors—A Natural Language Processing Study

Breast cancer is one of the three most common cancers in the world. Most breast cancer cases occur in women aged 35–70 years, and the incidence rates are increasing. In this study, we are going to analyze breast cancer survivors’ attitudes towards breast cancer through advanced natural language processing techniques, namely sentiment analysis, and topic modeling. Our study helps mental health professionals understand the attitude of breast cancer survivors toward stress associated with breast cancer and its effects and improve the quality of life among breast cancer survivors.