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        "author": "Karina Tiemi Kato, Renan Santos Mendes",
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        "description": "# DataAnalysis\n\nDataAnalysis \u00c3\u00a9 uma biblioteca que pode ser usada para o pr\u00c3\u00a9-processamento de um arquivo csv.\n\n#### Par\u00c3\u00a2metros:\n\n```diff\ninput_file: nome do arquivo com a extens\u00c3\u00a3o csv\n\napi_small_talks: url da api de small talks\n\ncontent_column: nome ou \u00c3\u00adndice da coluna de conte\u00c3\u00bado do arquivo csv\n\nencoding: codifica\u00c3\u00a7\u00c3\u00a3o do arquivo\n\nsep: separador usado no arquivo\n\nbatch: n\u00c3\u00bamero de batches para usar na api de small talks\n```\n\n\n## Installation\n\nUse o gerenciador de pacotes [pip](https://pip.pypa.io/en/stable/) para instalar o DataAnalysis\n\n```bash\npip install DataAnalysis\n```\n\n## Usage\n\n```python\nimport DataAnalysis as da\n\np = da.PreProcessing(input_file, api_small_talks, content_column, encoding, sep, batch)\np.process(output_file, lower = True, punctuation = True, abbreviation = True, typo = True, small_talk = True,\nemoji = True, wa_emoji = True, accentuation = True, number = True, relevant = False, cpf = True,\nurl = True, email = True, money = True, code = True, time = True, date = True, tagging = True)\n```\n## License\n[MIT](https://choosealicense.com/licenses/mit/)",
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