def __init__(self):
self.spellCheck = spellCheck()
#Optional Stop Words Removal
#Amazon nlp stop word list
self.stop = ['a', 'across', 'am', 'an', 'and', 'any', 'are', 'as', 'at', 'be', 'been', 'being', 'but', 'by', 'can', 'could', 'did', 'do', 'does', 'each', 'for', 'from', 'had', 'has', 'have', 'in', 'into', 'is', "isn't", 'it', "it'd", "it'll", "it's", 'its', 'of', 'on', 'or', 'that', "that's", 'thats', 'the', 'there', "there's", 'theres', 'these', 'this', 'those', 'to', 'under', 'until', 'up', 'were', 'will', 'with', 'would']
self.stop+=[")","(",".","'",",",";",":","?","/","!","@","$","*","+","-","_","=","&","%","`","~","\"","{","}"]
def __init__(self):
self.acronyms = self.load_obj("acronymsDict")
self.emoticons = self.load_obj("SmileyDict")
self.contractions = self.load_obj("contractionsDict")
self.wordDict = self.load_obj("wordDict")
self.spellCheck = spellCheck()
#Optional Stop Words Removal
#Amazon nlp stop word list
self.stop = ['a', 'across', 'am', 'an', 'and', 'any', 'are', 'as', 'at', 'be', 'been', 'being', 'but', 'by', 'can', 'could', 'did', 'do', 'does', 'each', 'for', 'from', 'had', 'has', 'have', 'in', 'into', 'is', "isn't", 'it', "it'd", "it'll", "it's", 'its', 'of', 'on', 'or', 'that', "that's", 'thats', 'the', 'there', "there's", 'theres', 'these', 'this', 'those', 'to', 'under', 'until', 'up', 'were', 'will', 'with', 'would']
def __init__(self):
self.spellCheck = spellCheck()
#Optional Stop Words Removal
#Amazon nlp stop word list
self.stop = [
'a', 'across', 'am', 'an', 'and', 'any', 'are', 'as', 'at', 'be',
'been', 'being', 'but', 'by', 'can', 'could', 'did', 'do', 'does',
'each', 'for', 'from', 'had', 'has', 'have', 'in', 'into', 'is',
"isn't", 'it', "it'd", "it'll", "it's", 'its', 'of', 'on', 'or',
'that', "that's", 'thats', 'the', 'there', "there's", 'theres',
'these', 'this', 'those', 'to', 'under', 'until', 'up', 'were',
'will', 'with', 'would'
]
self.stop += [
")", "(", ".", "'", ",", ";", ":", "?", "/", "!", "@", "$", "*",
"+", "-", "_", "=", "&", "%", "`", "~", "\"", "{", "}"
]
def __init__(self):
self.acronyms = self.load_obj("acronymsDict")
self.emoticons = self.load_obj("SmileyDict")
self.contractions = self.load_obj("contractionsDict")
self.wordDict = self.load_obj("wordDict")
self.spellCheck = spellCheck()
#Optional Stop Words Removal
#Amazon nlp stop word list
self.stop = [
'a', 'across', 'am', 'an', 'and', 'any', 'are', 'as', 'at', 'be',
'been', 'being', 'but', 'by', 'can', 'could', 'did', 'do', 'does',
'each', 'for', 'from', 'had', 'has', 'have', 'in', 'into', 'is',
"isn't", 'it', "it'd", "it'll", "it's", 'its', 'of', 'on', 'or',
'that', "that's", 'thats', 'the', 'there', "there's", 'theres',
'these', 'this', 'those', 'to', 'under', 'until', 'up', 'were',
'will', 'with', 'would'
]
def __init__(self):
self.spellCheck = spellCheck()
# Optional Stop Words Removal
# Amazon nlp stop word list
self.stop = [
"a",
"across",
"am",
"an",
"and",
"any",
"are",
"as",
"at",
"be",
"been",
"being",
"but",
"by",
"can",
"could",
"did",
"do",
"does",
"each",
"for",
"from",
"had",
"has",
"have",
"in",
"into",
"is",
"isn't",
"it",
"it'd",
"it'll",
"it's",
"its",
"of",
"on",
"or",
"that",
"that's",
"thats",
"the",
"there",
"there's",
"theres",
"these",
"this",
"those",
"to",
"under",
"until",
"up",
"were",
"will",
"with",
"would",
]
self.stop += [
")",
"(",
".",
"'",
",",
";",
":",
"?",
"/",
"!",
"@",
"$",
"*",
"+",
"-",
"_",
"=",
"&",
"%",
"`",
"~",
'"',
"{",
"}",
]
def __init__(self):
self.acronyms = self.load_obj("acronymsDict")
self.emoticons = self.load_obj("SmileyDict")
self.contractions = self.load_obj("contractionsDict")
self.wordDict = self.load_obj("wordDict")
self.spellCheck = spellCheck()
# Optional Stop Words Removal
# Amazon nlp stop word list
self.stop = [
"a",
"across",
"am",
"an",
"and",
"any",
"are",
"as",
"at",
"be",
"been",
"being",
"but",
"by",
"can",
"could",
"did",
"do",
"does",
"each",
"for",
"from",
"had",
"has",
"have",
"in",
"into",
"is",
"isn't",
"it",
"it'd",
"it'll",
"it's",
"its",
"of",
"on",
"or",
"that",
"that's",
"thats",
"the",
"there",
"there's",
"theres",
"these",
"this",
"those",
"to",
"under",
"until",
"up",
"were",
"will",
"with",
"would",
]
