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UK_Elections_Stylometrics.py
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UK_Elections_Stylometrics.py
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import pandas as pd
import re
data = pd.read_csv('bigtweets_2_out_utf8.csv', delimiter=",", quotechar="'", error_bad_lines=False)
data.head(5)
rightlist=["Theresa","May","Conservatives","Tory","Conservative","Tories"]
leftlist=["Jeremy", "Corbyn", "Labour"]
dotcountlist=[]
commacountlist=[]
exclamationcountlist=[]
wordcountlist=[]
uppercasecountlist=[]
lr_classifierlist=[]
a=0
#for each cell in the text column of data
for cell in (data['text']):
print(a)
a+=1
dotcount=0
commacount=0
exclamationcount=0
wordcount=0
uppercasecount=0
lr_classifier=0
dotcount=cell.count(".")
commacount=cell.count(",")
exclamationcount=cell.count("!")
if a>10000:
break
else:
#for reach word in cell
for word in (cell.split()):
wordcount+=1
uppercaseword=word[1:]
uppercasecount+=sum(1 for c in uppercaseword if c.isupper)
#iterates through the lexicon
if word in rightlist and lr_classifier==0:
print(word)
lr_classifier="right"
print(lr_classifier)
if word in rightlist and lr_classifier=="right":
print(word)
lr_classifier="right"
print(lr_classifier)
if word in rightlist and lr_classifier=="left":
print(word)
lr_classifier="None"
print(lr_classifier)
if word in rightlist and lr_classifier=="left":
print(word)
lr_classifier="left"
print(lr_classifier)
if word in leftlist and lr_classifier==0:
print(word)
lr_classifier="left"
print(lr_classifier)
if word in leftlist and lr_classifier=="right":
print(word)
lr_classifier="None"
print("Dotcount: " + str((dotcount)))
print("Commacount: "+ str(commacount))
print("Exclamationcount: "+ str(exclamationcount))
print("Wordcount: "+ str(wordcount))
print("Uppercasecount "+ str(uppercasecount))
print(lr_classifier)
dotcountlist.append(dotcount)
commacountlist.append(commacount)
exclamationcountlist.append(exclamationcount)
wordcountlist.append(wordcount)
lr_classifierlist.append(lr_classifier)
row1 = pd.DataFrame(dotcountlist)
row2=pd.DataFrame(commacountlist)
row3=pd.DataFrame(exclamationcountlist)
row4=pd.DataFrame(wordcountlist)
row5=pd.DataFrame(lr_classifierlist)
output=pd.concat([data, row1, row2, row3, row4, row5],axis=1)
output.to_csv('outputStylo.csv', encoding='utf-8')
# In[ ]: