def setdayinterval(input):
global dayinterval, news, cedwords
dayinterval = input
news = TDM.getDocsFromCsv(dayinterval)
setcedwords(cedwords)
dayinterval = input
news = TDM.getDocsFromCsv(dayinterval)
setcedwords(cedwords)
# Loading lexicons
positiveLex = Utils.Data.loadLexicon(Config.POS_LEX)
negativeLex = Utils.Data.loadLexicon(Config.NEG_LEX)
# ------------------RETRIEVING DATA --------------------------------------
# Getting the list of news from the csv to do the emotion analysis
dayslist = Utils.Data.getListFromCsv("csv/Days.csv")
dayinterval = makelast30days(dayslist)
# last30days = makelast30days(dayslist)
# last30daysnews = TDM.getDocsFromCsv(last30days) # it gets the news by day
news = TDM.getDocsFromCsv(dayinterval)
setcedwords(["default", "test"])
def EmotionAnalysis(epsilon, figure):
global news, CED
EM.setEpsilon(epsilon)
# for each new compute the emotional value and show it
output = [] # output is a list of tuples with [day,CED of that day]
for i in range(0, len(dayinterval)):
EM.computeday(news[i], negativeLex, positiveLex, CED)
output.append([news[i], CED.copy()])
Graph.plotallfigure(figure, output, dayinterval)
# after the execution we need to clean the values of the CED so they doesnt iterfere with next execution
for word in cedwords:
CED[word] = 0
