How can bags-of-words help in the hate speech detection?
I just read about the bags-of-words- method and I am not sure that I understand it perfectly. In sum this method just create a vector for some texts and if the word of one text match with the words from the hateful vocabulary the vector of this text gets higher. At the end the texts will be detected as hateful if the vector has the higher score. Is it right or I understand it wrong?