如何加快情绪分析？

Question

我正在对几种语言进行情感分析。我的代码运行成功，但是速度非常慢（仅11K条记录就达到1000万）。这是我的代码：

# Spanish Classifier - from https://github.com/aylliote/senti-py
clf = SentimentClassifier()

# Italian Classifier - Also for Russian
from polyglot.text import Text as T

# Germany Classifier
from textblob_de import TextBlobDE as TextBlob_d

# English
from textblob import TextBlob

# French
from textblob_fr import PatternTagger, PatternAnalyzer

def Flag(row):
    try:
        if row['lang'] == 'es':
            txt=clf.predict(row['rev'])
            return txt
        elif row['lang'] == 'it':
            txt=T(row['rev'])
            return txt.polarity
        elif row['lang'] == 'de':
            txt=TextBlob_d(row['rev'])
            return txt.sentiment
        elif row['lang'] == 'en':
            txt=TextBlob(row['rev'])
            return txt.sentiment.polarity
        elif row['lang'] == 'fr':
            txt=TextBlob(row['rev'], pos_tagger=PatternTagger(), 
            analyzer=PatternAnalyzer())
            return txt.sentiment[0]
        elif row['lang'] == 'ru':
            txt=T(row['rev'])
            return txt.polarity
        else:
            return ""
    except:
        return ""

df['sent']=df.apply(Flag,axis=1)

我检查了有关textblob.sentiments导入NaiveBayesAnalyzer的其他帖子，速度非常慢，但是我不认为这是我在这里遇到的同样情况？

谢谢