This research conducts Classification of Public Perceptions of Transportation Access Development in Darmo Corridor Surabaya using SVM and Naive Bayes methods. The increasing mobility demands necessitate adequate public transportation facilities, such as the Surabaya bus, which has been operational since 2018. The Darmo corridor has witnessed significant development in public transportation facilities and infrastructure, serving as a transit point between two Surabaya bus routes. The purpose of this study is to evaluate public perception towards the implementation of Transit Oriented Development (TOD) concept in the corridor. In this study, a qualitative descriptive analysis was conducted on various aspects of TOD implementation, such as pedestrian paths, bicycle lanes, and green open spaces. Furthermore, public perception was analyzed using Naive Bayes Classifier and SVM methods by collecting data from Twitter accounts and giving weights based on the frequency of words in the tweets. From the analysis it could be concluded Naïve Bayes is not suitable for classification because it's not stable enough, the SVM Methods matchs 95% proven when its repeated for 5 more time it. The results showed that the Darmo corridor successfully implemented the TOD concept well, with 90% of the community giving a positive response to the TOD implementation in the area. This finding indicates the success of TOD initiatives in improving transportation facilities and infrastructure in Darmo corridor.