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Update universe.json
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@ -25,6 +25,32 @@
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},
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"category": ["standalone"],
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"tags": ["person-name-detection"]
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},
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{
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"id": "eMFDscore",
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"title": "eMFDscore : Extended Moral Foundation Dictionary Scoring for Python",
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"slogan": "Extended Moral Foundation Dictionary Scoring for Python",
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"description": "Fast, flexible extraction of moral information from textual input data.",
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"github": "https://github.com/medianeuroscience/emfdscore",
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"code_example": [
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"from emfdscore.scoring import score_docs",
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"import pandas as pd",
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"template_input = pd.read_csv('emfdscore/template_input.csv', header=None)",
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"DICT_TYPE = 'emfd'",
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"PROB_MAP = 'single'",
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"SCORE_METHOD = 'bow'",
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"OUT_METRICS = 'vice-virtue'",
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"OUT_CSV_PATH = 'single-vv.csv'",
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"df = score_docs(template_input,DICT_TYPE,PROB_MAP,SCORE_METHOD,OUT_METRICS,num_docs)",
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],
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"code_language": "python",
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"author": "Media Neuroscience Lab",
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"author_links": {
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"github": "medianeuroscience",
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"twitter": "medianeuro"
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},
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"category": ["research", "teaching"],
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"tags": ["morality", "dictionary", "sentiment"]
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},
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{
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"id": "skweak",
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