Given the wealth of information, systematic analysis allows for maximized learning from previously published data and discovery of hidden connections between various concepts and ideas. Gaining nuanced insights, establishing obscure connections, and identifying concepts in their early emergent phases are bound to aid in directing research efforts in specific directions. Furthermore, timely updates to trend landscape analyses can help track the emergence of identified concepts and allow for systematic updates of emerging ideas. We hope that the insights we gleaned from our NLP-based analysis will serve as a tool which can be utilized to guide further exploration of research in immuno-oncology field.