Hate Speech Detection on Twitter Using Long Short-Term Memory (LSTM) Method
Syahrul Syafaat Syam, Budhi Irawan, Casi Setianingsih · 2019
Along with the development of the times, the use of social media, especially Twitter, is increasingly being used. Of course this makes more people communicate on social media. Due to communication, it is possible that there will be utterances of hate speech delivered to certain parties,, especially before presidential election in 2019. The number of certain parties spread hatred in social media especially on Twitter. Therefore, as technology develops, we create a system that can detect a tweet based on the search for hashtag on Twitter whether it is classified as hate speech or not using the LSTM method as a classifier. The result of this system is to provide a label in the form of “hate speech” or “non-hate speech” on every tweet that becomes an input on this system.