The Task on Semantic Analysis at SEPLN (TASS task within IberLEF 2020 workshop) took place on September 22, reaching its ninth edition. Due to the COVID-19 pandemic, the number of participants is lower compared to past campaigns. Also, the organizers decided to held it remotely. In this edition, the classical polarity classification subtask was, again, organized. As a novelty, a second subtask was proposed to foster research in emotion detection of Spanish texts on a new dataset. This paper summarizes the different approaches of the teams who participated, the key insights of their systems and the results obtained for all the proposed solutions.