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Update universe.json
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@ -4176,17 +4176,25 @@
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"tags": ["pipeline", "nlp", "sentiment"]
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"tags": ["pipeline", "nlp", "sentiment"]
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},
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},
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{
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{
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"id": "spacyspellcheck",
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"id": "nligraphspacy",
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"title": "spacyspellcheck",
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"title": "nligraphspacy",
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"slogan": "Simple spell check with spacy",
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"slogan": "Knowledge graph using NLP Spacy",
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"description": "Simple spell check using spacy and in build Levenshtein distance",
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"description": "Knowledge graph using NLP Spacy",
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"github": "vishnunkumar/spacyspellcheck",
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"github": "vishnunkumar/nligraphspacy",
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"pip": "spacyspellcheck",
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"pip": "spacyspellcheck",
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"code_example": [
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"code_example": [,
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"from spacyspellcheck.spellcheck import SpellCorrector",
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"from nligraphspacy import NLIGRAPH",
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"spacyspell = SpellCorrector('we cannt move forwad with that approach')",
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"nligraph = NLIGRAPH.RelationEntityExtract('She worked in the city of London')",
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"spacyspell.get_possible_misspelt()",
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"nligraph.process_text()",
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"# results: ['cannot', 'forward']"
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"# ('She', 'worked', 'London')",
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"nligraph.get_seperate_entities()",
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"# [{'text': 'A', 'label': ''}",
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"# {'text': 'DAG', 'label': 'SOURCE-NODE'}",
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"# {'text': 'is', 'label': ''}",
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"# {'text': 'used', 'label': 'EDGE'}",
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"# {'text': 'for', 'label': ''}",
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"# {'text': 'organizing', 'label': ''}",
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"# {'text': 'tasks', 'label': 'TARGET-NODE'}]"
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],
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],
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"thumb": "",
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"thumb": "",
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"image": "",
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"image": "",
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