FP Canada Research Stage 3

<p>The dataset and report summarize the results of an R-based text-mining study that analyzed thousands of comments and short texts collected from open web sources (e.g., online forums, articles, and social media) where people talk about money, financial planning, and financial planners. Using lexicon-based sentiment analysis and custom emotion/framing dictionaries, the project quantifies how often positive vs. negative sentiment appears, and identifies key emotional barriers such as fear, anxiety, stress, shame, and distrust, as well as frames related to cost, complexity, and trust/conflicts of interest. All data are derived from publicly available online content and do not include identifiable human-subject information, so IRB review was not required for this study.</p>