import os from gensim.models import Word2Vec, KeyedVectors, FastText from db import Mongo DB = Mongo() # 데이터 전처리 ################################################# db_result = list(DB.cursor()['gallery'].find({"pass": 1})) result = [post['join'] for post in db_result] #### HyperParameter vec_size = 6 windows = 6 min_count = 10 iteration = 100 workers = 4 model = FastText(sentences=result, size=vec_size, window=windows, min_count=min_count, iter=iteration, workers=workers) model_result = model.wv.most_similar("AMD 5800X") print(model_result)