NPL

pip install konlpy from konlpy.tag import Okt okt = Okt() token = okt.morphs("나는 자연어 처리를 배운다") print(token) word2index = {} for voca in token: if voca not in word2index.keys(): word2index[voca] = len(word2index) print(word2index) def one_hot_encoding(word, word2index): one_hot_vector = [0]*(len(word2index)) index = word2index[word] one_hot_vector[index] = 1 return one_hot_vector one_hot_encoding("처리",word2index)...