我正在嘗試從 CNBC 網(wǎng)站獲取非?；镜那榫w分析。我把這段代碼放在一起，效果很好。from bs4 import BeautifulSoupimport urllib.requestfrom  pandas import DataFrameresp = urllib.request.urlopen("https://www.cnbc.com/finance/")soup = BeautifulSoup(resp, from_encoding=resp.info().get_param('charset'))    substring = 'https://www.cnbc.com/'df = ['review']for link in soup.find_all('a', href=True):    print(link['href'])    if (link['href'].find(substring) == 0):         # append        df.append(link['href'])#print(link['href'])#list(df)# convert list to data framedf = DataFrame(df)#type(df)#list(df)# add column namedf.columns = ['review']# clean updf['review'] = df['review'].str.replace('\d+', '')# Get rid of special charactersdf['review'] = df['review'].str.replace(r'[^\w\s]+', '')from nltk.sentiment.vader import SentimentIntensityAnalyzersid = SentimentIntensityAnalyzer()df['sentiment'] = df['review'].apply(lambda x: sid.polarity_scores(x))def convert(x):    if x < 0:        return "negative"    elif x > .2:        return "positive"    else:        return "neutral"df['result'] = df['sentiment'].apply(lambda x:convert(x['compound']))df['result']當(dāng)我運(yùn)行上面的代碼時(shí)，我得到了正面和負(fù)面的信息，但這些并沒有映射到原始的“評(píng)論”。如何在數(shù)據(jù)框中、每個(gè)鏈接的語言旁邊顯示每種情緒？謝謝！