我已經使用此代碼進行類別檢測..import numpy as np# Words -> categorycategories = {word: key for key, words in data.items() for word in words}# Load the whole embedding matrixembeddings_index = {}with open('glove.6B.100d.txt', encoding="utf8") as f:  for line in f:    values = line.split()    word = values[0]    embed = np.array(values[1:], dtype=np.float32)    embeddings_index[word] = embedprint('Loaded %s word vectors.' % len(embeddings_index))# Embeddings for available wordsdata_embeddings = {key: value for key, value in embeddings_index.items() if key in categories.keys()}# Processing the querydef process(query):  query_embed = embeddings_index[query]  scores = {}  for word, embed in data_embeddings.items():    category = categories[word]    dist = query_embed.dot(embed)    dist /= len(data[category])    scores[category] = scores.get(category, 0) + dist  return scores# Testingprint(process('pizza'))輸出{'service': 6.385544379552205, 'ambiance': 3.5752111077308655, 'Food': 12.912149047851562}有沒有辦法讓我只獲得最準確的類別，比如食物？？