def generate_word_cloud(col_name, min_score=0.5):
    text_list = df_train.loc[df_train[col_name] > min_score, "comment_text"].tolist()
    texts = " ".join(text_list).lower()
    wc = WordCloud(
        max_font_size=100, 
        max_words=100, 
        background_color="white", 
        stopwords=stop_words
    ).generate(texts)
    fig, ax = plt.subplots(1, 1, figsize=(10, 10))
    ax.set_title(f"{col_name}", fontsize=20)
    ax.imshow(wc, interpolation="bilinear")
    ax.axis("off")
    plt.show()

generate_word_cloud("target", min_score=0.7)  # 텍스트가 많아서 score 조절
generate_word_cloud("severe_toxicity")
generate_word_cloud("obscene")
generate_word_cloud("threat")
generate_word_cloud("insult")
generate_word_cloud("identity_attack")
generate_word_cloud("sexual_explicit")