Soft Internet Sensors for Cancer Analytics proposes a framework using dynamic software sensors to collect and analyze disease-related information from social media sources like blogs and tweets. The sensors would gather relevant data, build on prior knowledge to refine findings, identify influencers and connections, and recognize trends to derive knowledge about a specific disease over time. Big data analytics could help improve cancer treatment decisions and outcomes by providing insights from a wide range of data sources and understanding patient behaviors and treatment efficacy across different social environments.