Text cleaning aims to clean input text from punctuation marks, HTML stripping, URLs and other special characters to prepare the text for further processing in the sentiment analysis module [19]. Due to the orthographic characteristics of Urdu text, such as the optional use of diacritics and the...
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Punctuation
# 需要导入模块: import string [as 别名]# 或者: from string importpunctuation[as 别名]defclean_captions(captions):# Prepare translation table for removingpunctuationtable = str.maketrans('','', string.punctuation)for_, caption_listincaptions.items():foriinrange(len(caption_list)): caption = c...
def remove_punctuation(text: str, marks=None) -> str: """ Remove punctuation from ``text`` by removing all instances of ``marks``. Args: text (str): Urdu text marks (str): If specified, remove only the characters in this string, e.g. ``marks=',;:'`` removes commas, semi-col...