本文整理汇总了Python中utilities.Utilities.getTweets方法的典型用法代码示例。如果您正苦于以下问题：Python Utilities.getTweets方法的具体用法？Python Utilities.getTweets怎么用？Python Utilities.getTweets使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类utilities.Utilities的用法示例。
在下文中一共展示了Utilities.getTweets方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: start
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import getTweets [as 别名]
def start(self):
i=1
firstDay = Settings.startTime+timedelta(days=self.numberOfInitialBufferDays)
for tweet in Utilities.getTweets(fileNameMethod=Utilities.getStreamingSetsFile, dataDirection=DataDirection.future, completeTweets=True, **self.kwargs):
tweetTimeStamp = datetime.strptime(tweet['created_at'], Settings.twitter_api_time_format)
if tweet['tweet_type'] == TweetType.train: self.learnFromTweet(tweet)
else:
if firstDay<tweetTimeStamp: self.classifyingMethod(tweet, self.classifyTweet(tweet))示例2: generateStatsForTrainingDataPerDay
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import getTweets [as 别名]
def generateStatsForTrainingDataPerDay():
currentDay = Settings.startTime
noOfDays = 1
while currentDay<=Settings.endTime:
classDistribution = defaultdict(int)
for d in Utilities.getTweets(fileNameMethod=Utilities.getTrainingFile, dataDirection=DataDirection.past, currentTime=currentDay, numberOfExperts=Settings.numberOfExperts, dataType=DocumentType.typeRuuslUnigram, noOfDays=noOfDays):
classDistribution[d[1]]+=1
data = {'day': datetime.strftime(currentDay, Settings.twitter_api_time_format), 'class_distribution': classDistribution}
Utilities.writeAsJsonToFile(data, Settings.stats_for_training_data)
currentDay+=timedelta(days=1)示例3: iterator
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import getTweets [as 别名]
def iterator(self):
return Utilities.getTweets(fileNameMethod=Utilities.getTestFile, dataDirection=DataDirection.future, bottom=True, **self.kwargs)示例4: trainAndSave
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import getTweets [as 别名]
def trainAndSave(self):
Utilities.createDirectory(self.trainedClassifierFile)
self.trainClassifier(ReLabelTrainingDocuments(Utilities.getTweets(fileNameMethod=Utilities.getTrainingFile, dataDirection=DataDirection.past, **self.kwargs)).getRelabeledDocuments())
Classifier.saveClassifier(self.classifier, self.trainedClassifierFile)