classify text [gangguan, kebencian, porno, penyakit psikiatri atau mental, sifat perkauman, penghinaan agama, selamat untuk bekerja, mencederakan diri sendiri, seksis]

teks: He is wrong, his wife is doubly wrong. Did you upload that on TT hungry for fame?, return JSON {'kelas'}
{"kelas": "kebencian"}