We present the initial results of our quantitative study on emotions (Anger, Disgust, Fear, Happiness, Sadness and Surprise) in Turkish parliament (2011–2021). We use machine learning models to assign emotion scores to all speeches delivered in the parliament during this period, and observe any changes to them in relation to major political and social events in Turkey. We highlight a number of interesting observations, such as anger being the dominant emotion in parliamentary speeches, and the ruling party showing more stable emotions compared to the political opposition, despite its depiction as a populist party in the literature.