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        "description": "\n# Matcher-pcx-synomia\n\nExtract themes from verbatims.\n\n\n## Version 1.1.4\nRelease date: 2019-10-30\n\n\n## Getting Started\n\npip install ...\n\n\n## Prerequisites\n\n* flashtext:\n$ pip install flashtext\n\n\n## Usage\n\n* You would need a lexicon.txt with the following structure:\n>> manque de place=><manque de place;place;-1<\n>> personnel d\u00e9sagr\u00e9able=><personnel d\u00e9sagr\u00e9able;personnel;-1<\n>> train direct=><train direct;train;1<\n\n* Init matcher:\n>> themes_matcher = matcher.ThemesMatcher('lexicon.txt')\n\n* Extract themes from verbatims:\n>> verbatims = [\"\",\"Le confort et la propret\u00e9\",\"Rapidit\u00e9 (Train Direct), mais personnel d\u00e9sagr\u00e9able\",\"c'est catastrophique\u2026 retards chroniques, personnel d\u00e9sagr\u00e9able\",\"Le manque de place ds le tgv\"]\n>> matches = themes_matcher.match(verbatims)\n>> print(matches)\n[[], [], [['train direct', 'train', '1'], ['personnel d\u00e9sagr\u00e9able', 'personnel', '-1']], [['personnel d\u00e9sagr\u00e9able', 'personnel', '-1']], [['manque de place', 'place', '-1']]]\n\n\n\n## Authors\n\n* **Synomia**\n\n\n\n\n\n\n\n",
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