function to retrieve tweets from corpus and save them into a csv file

SentimentAnalysis.py

def buidTrainingSet(corpusFile, tweetDataFile):
    import csv
    import time
    
    corpus = []
    
    with open(corpusFile,'rb') as csvfile:
        lineReader = csv.reader(csvfile,delimiter=',', quotechar="\"")
        for row in lineReader:
            corpus.append({"tweet_id":row[2], "label":row[1], "topic":row[0]})
            
    rate_limit = 180
    sleep_time = 900/180
    
    trainingDataSet = []
    
    for tweet in corpus:
        try:
            status = twitter_api.GetStatus(tweet["tweet_id"])
            print("Tweet fetched" + status.text)
            tweet["text"] = status.text
            trainingDataSet.append(tweet)
            time.sleep(sleep_time) 
        except: 
            continue
    # now we write them to the empty CSV file
    with open(tweetDataFile,'wb') as csvfile:
        linewriter = csv.writer(csvfile,delimiter=',',quotechar="\"")
        for tweet in trainingDataSet:
            try:
                linewriter.writerow([tweet["tweet_id"], tweet["text"], tweet["label"], tweet["topic"]])
            except Exception as e:
                print(e)
    return trainingDataSet