def clean_And_Parse_tweets(tweets): # parsing and adding bag of words to the tweet_words for each tweet for tweet in tweets: tweet['tweet_words']=tweet_tokenizer(tweet['tweet_text']) # Get the content from the webpage for tweet in tweets: if tweet['tweet_urls']!="": webpage = Words_In_Webpage(tweet['tweet_urls']) tweet['tweet_webpage_words']= webcontent_tokenizer(webpage) return tweets
def clean_And_Parse_tweets(tweets):
# parsing and adding bag of words to the tweet_words for each tweet
for tweet in tweets:
tweet['tweet_words']=tweet_tokenizer(tweet['tweet_text'])
# Get the content from the webpage
for tweet in tweets:
tweet["word_vector"] = {}
wordvecfinal = {}
wordvec = {}
for word in tweet['tweet_words']:
wordvec.setdefault(word,0)
wordvec[word]+=1
if tweet['tweet_urls']!="":
webpage = Words_In_Webpage(tweet['tweet_urls'])
tweet['tweet_webpage_words']= webcontent_tokenizer(webpage)
for word in tweet['tweet_webpage_words']:
wordvec.setdefault(word,0)
wordvec[word]+=1
for word,wordcount in wordvec.items():
#frac = float(wordcount)/len(wordvec)
#if frac >0:
wordvecfinal[word] = wordcount
tweet["word_vector"] = wordvecfinal
return tweets