def classifyTweets(tweetFile, history, tag, sSaveFile, offset=3):
stopWords = getStopWords()
tweets = []
for line in IO.readData_by_line(tweetFile):
tweet = Tweet.Tweet()
tweet.setTweet(line)
if(tweet.containsTag("#" + tag)):
stamp = tweet.date + timedelta(days=offset)
if stamp.date() in history:
tweet.label = history[stamp.date()]
tweet.removeStopWords(stopWords)
tweets.append(tweet)
print len(tweets)
tweetFile.close()
IO.writeTweets(sSaveFile, tweets, ['label', 'trimmedMessage'])
def classifyTweets(tweetFile, history, tag, sSaveFile, offset=3):
stopWords = getStopWords()
tweets = []
for line in IO.readData_by_line(tweetFile):
tweet = Tweet.Tweet()
tweet.setTweet(line)
if (tweet.containsTag("#" + tag)):
stamp = tweet.date + timedelta(days=offset)
if stamp.date() in history:
tweet.label = history[stamp.date()]
tweet.removeStopWords(stopWords)
tweets.append(tweet)
print len(tweets)
tweetFile.close()
IO.writeTweets(sSaveFile, tweets, ['label', 'trimmedMessage'])
def setTweetsEmotion():
#Get Emotions
arrEmo = getEmotions()
#Analyse Tweet Emotion
data = open("data/scrapeCompanies.txt")
#Read every tweet
for line in IO.readData_by_line(data):
tweet = Tweet.Tweet()
tweet.setTweet(line)
#Check every emotion
value = 0
for emo in arrEmo:
word = emo[0]
if word in tweet.message:
#Update value by emotion
if emo[1] == "1":
value = 1
else:
value = -1
if(value != 0):
break
tweet.label = value
print tweet.label, " " ,tweet.message
def setTweetsEmotion():
#Get Emotions
arrEmo = getEmotions()
#Analyse Tweet Emotion
data = open("data/scrapeCompanies.txt")
#Read every tweet
for line in IO.readData_by_line(data):
tweet = Tweet.Tweet()
tweet.setTweet(line)
#Check every emotion
value = 0
for emo in arrEmo:
word = emo[0]
if word in tweet.message:
#Update value by emotion
if emo[1] == "1":
value = 1
else:
value = -1
if (value != 0):
break
tweet.label = value
print tweet.label, " ", tweet.message
