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Update universe.json

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Vishnu Nandakumar 2023-06-20 21:32:32 +05:30 committed by GitHub
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website/meta/universe.json
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@ -4176,20 +4176,17 @@
"tags": ["pipeline", "nlp", "sentiment"]
},
{
"id": "nligraphspacy",
"title": "nligraphspacy",
"slogan": "Knowledge graph using NLP Spacy",
"description": "Knowledge graph pipeline for simple english sentences using pre-trained spaCy models",
"github": "vishnunkumar/nligraphspacy",
"pip": "nligraphspacy",
"id": "spacyspellcheck",
"title": "spacyspellcheck",
"slogan": "Simple spell check with spacy",
"description": "Simple spell check using spacy and in build Levenshtein distance",
"github": "vishnunkumar/spacyspellcheck",
"pip": "spacyspellcheck",
"code_example": [
"# Please download the model from the repository and replace the directory with your own i.e where you have kept the model",
"import spacy",
"kgmodel = spacy.load('nligraphspacy')",
"text = She did well in her exams",
"doc = nlp(text)",
"for tok in doc: print(tok, tok.ent_type_)",
"# She SOURCE-NODE did EDGE well TARGET-NODE in her exams TARGET-NODE"
"from spacyspellcheck.spellcheck import SpellCorrector",
"spacyspell = SpellCorrector('we cannt move forwad with that approach')",
"spacyspell.get_possible_misspelt()",
"# results: ['cannot', 'forward']"
],
"thumb": "",
"image": "",
@ -4199,8 +4196,8 @@
"github": "Vishnunkumar",
"twitter": "vishnunkumar_"
},
"category": ["pipeline"],
"tags": ["pipeline", "nlp", "ner", "knowlegde graph"]
"category": ["pipelin"],
"tags": ["pipeline", "spellcheck"]
},
{
"id": "textnets",