我有一些twitter数据，我将文本分为优雅和Python形式的带有快乐表情和悲伤表情的文本，如下所示：
happy_set = [":)",":-)","=)",":D",":-D","=D"]
sad_set = [":(",":-(","=("]
happy = [tweet.split() for tweet in data for face in happy_set if face in tweet]
sad = [tweet.split() for tweet in data for face in sad_set if face in tweet]
但是，这种方法行之有效，可能是这样的情况：来自happy_set和的图释sad_set都可以在单个推文中找到。确保happy列表仅包含来自happy_set和反之的表情符号的pythonic方法是什么？
您可以尝试使用集合，特别是set.isdisjoint。检查快乐鸣叫中的令牌集是否与断开sad_set。如果是这样，它绝对属于happy：
happy_set = set([":)",":-)","=)",":D",":-D","=D"])
sad_set = set([":(",":-(","=("])
# happy is your existing set of potentially happy tweets. To remove any tweets with sad tokens...
happy = [tweet for tweet in happy if sad_set.isdisjoint(set(tweet.split()))]
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