input: Write a function to read in a tweet and remove all punctuation, special characters, and stopwords. The function should return a list of filtered tokens. If the input tweet is empty, the function should return an empty list.
  assert remove_noise("I'm so excited to be going to the #MuseumTour! #BigDay #travel")==['excited', 'going', 'MuseumTour', 'BigDay', 'travel']
  assert remove_noise("Hello World!")==['Hello', 'World']
  assert remove_noise("#Python is awesome! #coding")==['Python', 'awesome', 'coding']
  assert remove_noise("")==[]
  assert remove_noise("!!!")==[]
output: def remove_noise(tweet):
      import string
      stopwords = set(["i", "me", "my", "myself", "we", "our", "ours", "ourselves", "you", "your", "yours", "yourself", "yourselves", "he", "him", "his", "himself", "she", "her", "hers", "herself", "it", "its", "itself", "they", "them", "their", "theirs", "themselves", "what", "which", "who", "whom", "this", "that", "these", "those", "am", "is", "are", "was", "were", "be", "been", "being", "have", "has", "had", "having", "do", "does", "did", "doing", "a", "an", "the", "and", "but", "if", "or", "because", "as", "until", "while", "of", "at", "by", "for", "with", "about", "against", "between", "into", "through", "during", "before", "after", "above", "below", "to", "from", "up", "down", "in", "out", "on", "off", "over", "under", "again", "further", "then", "once", "here", "there", "when", "where", "why", "how", "all", "any", "both", "each", "few", "more", "most", "other", "some", "such", "no", "nor", "not", "only", "own", "same", "so", "than", "too", "very", "s", "t", "can", "will", "just", "don", "should", "now"])
      if not tweet:
          return []
      tokens = tweet.split()
      filtered_tokens = [word.strip(string.punctuation).lower() for word in tokens if word.strip(string.punctuation).lower() not in stopwords and word.strip(string.punctuation)]
      return filtered_tokens