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        "description": "# NLPPREPROCESS\n\nNLPPREPROCESS is a preprocessing package for NLP task. The main objective of the package is to reduce time consumed for preprocessing by using ready made functions.\n\n# Requirements\n\n * Python 3.4 or higher\n\n# Installation\n\n ### Using PIP via PyPI\n ```\n $ pip install nlppreprocess\n ```\n\n ### Manually via GIT\n ```\n $ git clone git://github.com/gaganmanku96/nlppreprocess\n $ cd nlppreprocess\n $ python setup.py install\n ```\n\n# Functionalities\n1. Replaces words\n2. Remove stopwords\n3. Remove numbers\n4. Remove HTML tags\n5. Remove punctations\n6. Lemmatize words either by Wordnet or Snowball\n\n# Usage\n```\n>>> from nlpuitls import NLP\n>>> obj = NLP()\n```\n ## Parameters\n ```\n >>> obj = NLP(\n        replace_words=True,\n        remove_stopwords=True,\n        remove_numbers=True,\n        remove_HTML_tags=True,\n        remove_punctation=True,\n        lemmatize=False,\n        lemmatize_method='wordnet'\n       )\n ```\n ## Using with Pandas Library\n ```\n >>> dataFrame['text'] = dataFrame['text].apply(obj.process)\n\n ```\n ## Using with plain textx\n ```\n >>> print(obj.process(\"Pass a text here\"))\n ```\n ## Add more stopwords\n ```\n >>> obj = NLP()\n >>> obj.add_stopword(['this', 'and this'])\n ```\n ## Add more replace words\n ```\n >>> obj = NLP()\n >>> obj.add_replacement([this=\"by this\", this=\"by this\"])\n ```\n\n\n",
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