The present era is marked by the imminent reality of climate change, a phenomenon that carries undeniable scientific evidence regarding its profound impact on society. Nevertheless, we possess the means to confront this challenge through a multi-faceted approach. This deep dive delves into various strategies tailored to data scientists, environmental researchers, and corporations seeking to analyze corporate climate mitigation initiatives. The discourse entails a comparative analysis between corporate environmental and sustainability disclosures and the Intergovernmental Panel on Climate Change (IPCC) mitigation report, leveraging the power of Natural Language Processing (NLP) and Topic Modeling. By delving deep into the subject matter, the talk elucidates the capacity of the topic model to extract latent themes from the IPCC report and subsequently rank climate investments in relation to the corporate disclosures.