本文整理汇总了Python中Analysis.wordFrequency方法的典型用法代码示例。如果您正苦于以下问题：Python Analysis.wordFrequency方法的具体用法？Python Analysis.wordFrequency怎么用？Python Analysis.wordFrequency使用的例子？那么, 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Analysis的用法示例。
在下文中一共展示了Analysis.wordFrequency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: dumbClustering
# 需要导入模块: import Analysis [as 别名]
# 或者: from Analysis import wordFrequency [as 别名]
def dumbClustering(wordList, fName = 'clusters.txt'):
"""
Clusters by starting each comment as it's own cluster, and seeing which other clusters
have a lot of words in common with it
No stemming, all words are included
It's pretty bad, really.
"""
#make clusters
allClusters = []
for c in wordList:
tempCluster = Cluster()
freqTuple = Analysis.wordFrequency([c])
if len(freqTuple) == 0:
continue
freqDict = {}
for w, f in freqTuple:
freqDict[w] = f
tempCluster.addComment(c, freqDict)
allClusters.append(tempCluster)
#play with these values
start = 1.0
mid = .6
end = .3
step = -1.0/15
#combine clusters
dumbClusterStep(start, mid, step, allClusters)
singleClusters = Cluster()
for j in range(len(allClusters)-1, -1, -1):
if allClusters[j].numComments() <= 5:
singleClusters.addCluster(allClusters[j])
del allClusters[j]
allClusters.append(singleClusters)
dumbClusterStep(mid, end, step, allClusters)
f = open(fName, 'w')
for c in allClusters:
f.write(str(c)+'\n')
f.close()