This study follows a novel approach proposed by Angelico et al. (2022) of using Twitter to measure inflation perception in in real-time in Colombia. By applying machine learning techniques, we implement two real-time indicators of inflation perception and show that both exhibit a similar dynamic pattern to that of inflation and inflation expectations for the sample period January 2015 to March 2023. Our interpretation of these results is that they suggest that our indicators are closely linked to the underlying factors driving inflation perception. Overall, this approach provides a valuable instrument to gauge public sentiment towards inflation and complements the traditional inflation expectation measures used in the inflation–targeting framework.