def _puffery(segmentsAdded):
wordList = WordList()
wordList.parse("pufferyOutput.txt")
segmentsAdded = mwp.parse(segmentsAdded)
retScore = 0.0;
for key in wordList:
count = segmentsAdded.count(key)
count += segmentsAdded.count(key.title())
if count > 0:
retScore += count * wordList[key]
return retScore
from wordlist import WordList
from phraselist import PhraseList
from w2w_feature import W2WFeature
wordList = WordList()
wordList.parse("pufferyOutput.txt")
w2wFeature = W2WFeature(wordList)
print("output below should be 1, 2, 0")
print(w2wFeature.generateFeatureValue(["joe", "is", "legendary"]))
print(
w2wFeature.generateFeatureValue(["joe", "is", "legendary", "and",
"adept"]))
print(w2wFeature.generateFeatureValue(["joe", "is", "cat", "dog", "dolphin"]))
phraseList = PhraseList()
phraseList.parse("phrase.csv")
w2wFeature = W2WFeature(phraseList)
print("ouput below should be 1, 1, 2, 0")
print(w2wFeature.generateFeatureValue(["the", "dog",
"sleep"])) #should print 1
print(
w2wFeature.generateFeatureValue(["the", "dog", "sleep", "happy",
"dreams"])) #should print 1
print(
w2wFeature.generateFeatureValue(
["the", "dog", "sleep", "happy", "dreams", "the", "dog",
"sleep"])) #should print 0
print(w2wFeature.generateFeatureValue(["the", "dog", "not",
"sleep"])) #should print 0