Detecting Hate Speech In Twitter Using Long Short-Term Memory and Naïve Bayes Method

The information technologi’s development has been very sophisticated and easy, so that it becomes a lifestyle for people throughout the world without exception Indonesia which also affected by of this technology. One benefits technology is emergence various kinds social networking sites or media such as Facebook, Twitter Instagram. Technological developments isn’t only have positive impact, but negative impact crime insult hate speech. This study aims to classify Indonesian speech sentences based on neutral sentiments using Long Short-Term Memory (LSTM) method. Research data obtained from Indonesian-language tweets. In testing process, LSTM method will be compared with Naïve Bayes