def preprocess(readfilename, writefilename):
print("Preprocessing...")
reader = csv.reader(open(readfilename, encoding="utf8"))
writer = open(writefilename, 'w', encoding="utf8")
line_num = 0
next(reader)
labels = []
messages = []
#test_labels = []
for row in reader:
line_num += 1
#print line_num
if line_num % 500 == 0:
print(line_num)
temp_label = row[0]
temp_text = row[1]
#get the train label list
if temp_label == 'realDonaldTrump':
labels.append(0)
elif temp_label == 'HillaryClinton':
labels.append(1)
#Make the words to lower format and Remove the stopwords
stopWords = set(stopwords.words('english'))
words = TweetTokenizer().tokenize(temp_text)
words_lower = [w.lower() for w in words]
words_lower_filter_stopwords = []
for w in words_lower:
if w not in stopWords:
words_lower_filter_stopwords.append(w)
words = words_lower_filter_stopwords
for word in words: #looking too much into these information will presumably lead to overfitting
if word.startswith('http'):
words[words.index(word)] = '<url>'
if word.startswith('@'):
words[words.index(word)] = '<@mention>'
if word.startswith('#'):
words[words.index(word)] = '<hashtag>'
if word[0].isdigit():
words[words.index(word)] = '<num>'
# if word.endswith('...'): #for some reason some characters are turned into ellipsis, e.g. 'clicks'->'cl...'
# words.pop(words.index(word))
word_num = 0
temp_sentence = ""
for temp_word in words_lower_filter_stopwords:
word_num += 1
if word_num == 1:
temp_sentence += temp_word
else:
temp_sentence += " " + temp_word
temp_sentence += "\n"
messages.append(temp_sentence)
# print(temp_sentence)
writer.write(temp_sentence)
writer.close()
print("Preprocessing is done!")
return labels, messages
def preprocess(readfilename, writefilename, write=True):
print("Preprocessing...")
try:
if write == False:
raise FileNotFoundError
reader = csv.reader(open(writefilename, encoding="utf8"),
delimiter=';')
labels = []
messages = []
for row in reader:
if row[0] == 'realDonaldTrump':
labels.append(0)
elif row[0] == 'HillaryClinton':
labels.append(1)
messages.append(row[1].split())
except FileNotFoundError:
if 'clinton' in readfilename:
temp_label = 'HillaryClinton'
tweet_loc = 4
elif 'trump' in readfilename:
temp_label = 'realDonaldTrump'
tweet_loc = 1
reader = csv.reader(open(readfilename, encoding='utf8'), delimiter=';')
writer = open(writefilename, 'w', encoding="utf8")
line_num = 0
next(reader)
labels = []
messages = []
for row in reader:
line_num += 1 # line_num += 1 is the same as line_num++
if line_num % 500 == 0:
print(line_num)
temp_text = row[tweet_loc]
#get the train label list
if temp_label == 'realDonaldTrump':
labels.append(0)
elif temp_label == 'HillaryClinton':
labels.append(1)
words = TweetTokenizer().tokenize(temp_text)
for word in words:
if 'pic.twitter.com' in word:
words[words.index(word)] = '<pic>'
elif word.startswith('http'):
words[words.index(word)] = '<url>'
# elif word.startswith('@'):
# words[words.index(word)] = '<@mention>'
# elif word == '#': #clinton likes to include space after hashtag
# words[words.index(word)+1] = word+words[words.index(word)+1]
# words.pop(words.index(word))
elif word[0].isdigit():
words[words.index(word)] = '<num>'
if '#' in words:
index = words.index('#')
words[index] += words[index + 1]
words.pop(index + 1)
if '@' in words:
index = words.index('@')
words[index] += words[index + 1]
words.pop(index + 1)
words_lower = [w.lower() for w in words]
word_num = 0
temp_sentence = ""
for temp_word in words_lower:
word_num += 1
if word_num == 1:
temp_sentence += temp_word
else:
temp_sentence += " " + temp_word
temp_sentence += "\n"
messages.append(temp_sentence.split())
writer.write(temp_label + ';')
writer.write(temp_sentence)
writer.close()
print("Preprocessing is done!")
return labels, messages
def preprocess(readfilename, writefilename):
print("Preprocessing...")
try:
reader = csv.reader(open(writefilename, encoding="utf8"),
delimiter=';')
labels = []
messages = []
for row in reader:
if row[0] == 'realDonaldTrump':
labels.append(0)
elif row[0] == 'HillaryClinton':
labels.append(1)
messages.append(row[1].split())
except FileNotFoundError:
reader = csv.reader(open(readfilename, encoding='utf8'))
writer = open(writefilename, 'w', encoding="utf8")
line_num = 0
next(reader)
labels = []
messages = []
for row in reader:
line_num += 1 # line_num += 1 is the same as line_num++
if line_num % 500 == 0:
print(line_num)
# temp_label = row[0]
temp_label = 'realDonaldTrump'
temp_text = row[1]
#get the train label list
if temp_label == 'realDonaldTrump':
labels.append(0)
elif temp_label == 'HillaryClinton':
labels.append(1)
words = TweetTokenizer().tokenize(temp_text)
for word in words:
if 'pic.twitter.com' in word:
words[words.index(word)] = '<pic>'
elif word.startswith('http'):
words[words.index(word)] = '<url>'
elif word.startswith('@'):
words[words.index(word)] = '<@mention>'
elif word.startswith('#'):
words[words.index(word)] = '<hashtag>'
elif word[0].isdigit():
words[words.index(word)] = '<num>'
words_lower = [w.lower() for w in words]
word_num = 0
temp_sentence = ""
for temp_word in words_lower:
word_num += 1
if word_num == 1:
temp_sentence += temp_word
else:
temp_sentence += " " + temp_word
temp_sentence += "\n"
messages.append(temp_sentence.split())
writer.write(temp_label + ';')
writer.write(temp_sentence)
writer.close()
print("Preprocessing is done!")
return labels, messages