Approximately 80 % of people with some form of physical, mental,or intellectual disability live in developing countries. These samecountries have shown significant growth in the availability of theinternet. Such facts reveal good possibilities regarding access toemotional support and experiences exchange among people withdisabilities through social media. However, hate speech and derogatorycomments about these people can be a recurring problem onthese platforms. In order to identify these posts, this article featuresa classifier developed using Twitter posts related to disabilities.The results show that the tool developed is promising in detectingoffensive and pejorative comments on this topic, which can be usedin content management systems.