<jupyter_start><jupyter_text>형태소 분석<jupyter_code>han = Hannanum()

#불용어 제거 안함.
han.nouns(synoplist[0])
n_synoplist = []

for synop in synoplist:
    s_nouns = ' '.join(han.nouns(synop))
    #print(s_nouns)
    n_synoplist.append(s_nouns)

metadata.head()
n_synop = n_synoplist<jupyter_output><empty_output><jupyter_text>새 데이터프레임, csv파일 저장<jupyter_code>metadata['n_synop'] = n_synop
metadata.drop(['synop'], 1)
metadata.to_csv('data_all_nsynop_dayoung_ver2.csv', encoding='utf-8')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14931237721021612, 'fraction_numerical': 0.007858546168958742, 'mean_word_length': 7.6440677966101696, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '425869', 'license': 'MIT', 'n_tokens_mistral': 253, 'n_tokens_neox': 276, 'n_words': 27, 'path': 'Recommender/data_all_nsynop_dayoung.ipynb', 'repo_name': 'DayoungHong/Recommender-system', 'size': '509'}