class_docstr: Uses a list of stopwords to filter.
class_docstr_tok: ["Uses","a","list","of","stopwords","to","filter","."]
code: def __init__(self):
      # TODO(matt): Allow this to be specified somehow, either with a file, or with parameters,
      # or something.
      self.stopwords = set(
          [
              "I",
              "a",
              "aboard",
              "about",
              "above",
              "accordance",
              "according",
              "across",
              "after",
              "against",
              "along",
              "alongside",
              "also",
              "am",
              "amid",
              "amidst",
              "an",
              "and",
              "apart",
              "are",
              "around",
              "as",
              "aside",
              "astride",
              "at",
              "atop",
              "back",
              "be",
              "because",
              "before",
              "behind",
              "below",
              "beneath",
              "beside",
              "besides",
              "between",
              "beyond",
              "but",
              "by",
              "concerning",
              "do",
              "down",
              "due",
              "during",
              "either",
              "except",
              "exclusive",
              "false",
              "for",
              "from",
              "happen",
              "he",
              "her",
              "hers",
              "herself",
              "him",
              "himself",
              "his",
              "how",
              "how many",
              "how much",
              "i",
              "if",
              "in",
              "including",
              "inside",
              "instead",
              "into",
              "irrespective",
              "is",
              "it",
              "its",
              "itself",
              "less",
              "me",
              "mine",
              "minus",
              "my",
              "myself",
              "neither",
              "next",
              "not",
              "occur",
              "of",
              "off",
              "on",
              "onto",
              "opposite",
              "or",
              "our",
              "ours",
              "ourselves",
              "out",
              "out of",
              "outside",
              "over",
              "owing",
              "per",
              "prepatory",
              "previous",
              "prior",
              "pursuant",
              "regarding",
              "s",
              "sans",
              "she",
              "subsequent",
              "such",
              "than",
              "thanks",
              "that",
              "the",
              "their",
              "theirs",
              "them",
              "themselves",
              "then",
              "these",
              "they",
              "this",
              "those",
              "through",
              "throughout",
              "thru",
              "till",
              "to",
              "together",
              "top",
              "toward",
              "towards",
              "true",
              "under",
              "underneath",
              "unlike",
              "until",
              "up",
              "upon",
              "us",
              "using",
              "versus",
              "via",
              "was",
              "we",
              "were",
              "what",
              "when",
              "where",
              "which",
              "who",
              "why",
              "will",
              "with",
              "within",
              "without",
              "you",
              "your",
              "yours",
              "yourself",
              "yourselves",
              ",",
              ".",
              ":",
              "!",
              ";",
              "'",
              '"',
              "&",
              "$",
              "#",
              "@",
              "(",
              ")",
              "?",
          ]
      )
  
file_path: magnitude/pymagnitude/third_party/allennlp/data/tokenizers/word_filter.py
imports: from __future__ import absolute_import
  from allennlp.common import Registrable
  from allennlp.data.tokenizers.token import Token
label_desc: Use image node_id 1 to create a new StopwordFilter object from inherited base classes: WordFilter with example: obj = StopwordFilter()