def getAffectRatio(self, filename, text): # this could be provided as a feature, too self.wordsAffect = liwc()['Affect'] count = 0 for regex in self.wordsAffect: count += len(re.findall(regex + r"\b", text)) poemFeatures["affectRatio"] = count * 1.0 / len(getWords(text))
from nltk import corpus
from math import log
from random import sample
MIN_COMMENT_NUM = 10
COMMENT_DIR = "../data/comments_old/"
AFFECT_RATIO_DICT = "affect_ratio.p"
AFFECT_RATIO_PER_COMMENT_DICT = "affect_ratio2.p"
NRC_RATIO_DICT = "nrc_ratio.p"
NRC_FILE = '../data/NRC-lexicon.txt'
IGNORE_FILES = ["039", # someone added wikipedia articles as comments
"411", "447","466" # lots of loves
]
stopwordList = corpus.stopwords.words('english')
affectWordList = liwc()['Affect']
def makeRegexFromList(l):
result = r"\b" + r"\b|\b".join(l) + r"\b"
return re.sub("\.", "[a-z]", result)
def removeStopwords(text):
stopwordRegex = makeRegexFromList(stopwordList)
return re.sub(stopwordRegex, "", text)
def getWords(text):
text = ''.join(text).strip()
return re.findall("[\w']+", removeStopwords(text))
def getCommentFilenames():
return [(f, COMMENT_DIR + f) for f in listdir(COMMENT_DIR) if isfile(COMMENT_DIR + f)]
