本文整理汇总了Python中sentimentfinding.IOtools.printdictionary方法的典型用法代码示例。如果您正苦于以下问题：Python IOtools.printdictionary方法的具体用法？Python IOtools.printdictionary怎么用？Python IOtools.printdictionary使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sentimentfinding.IOtools的用法示例。
在下文中一共展示了IOtools.printdictionary方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: findroot
# 需要导入模块: from sentimentfinding import IOtools [as 别名]
# 或者: from sentimentfinding.IOtools import printdictionary [as 别名]
words = list(set(words))
lemmata = lemmatize_lexicon(words)
print lemmata
#lemmata = [(x.decode('utf-8'), y.decode('utf-8'), z.decode('utf-8'), t.decode('utf-8')) for (x,y,z,t) in lemmata]
lemmata = [" ".join(item) for item in lemmata]
txt = "\n".join(lemmata)
IOtools.todisc_txt(txt, trpath+os.sep+"lemmatized_"+fname)
#IOtools.todisc_list(trpath+os.sep+"lemmatized_"+fname, lemmata)
'''
'''
word = "iran'dan"
print findroot(parse_word(word))
'''
'''
word = "hey"
wordparsepair = parse_word(word)
print "parse_word ",wordparsepair
print
print find_wordparsepair_POStag(wordparsepair)
#get a txtfile and split it to its sentences
txt = texter.readtxtfile("/home/dicle/Dicle/Tez/dataset/readingtest/402970.txt")
sents = texter.splitToSentences(txt)