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added new model nligraphspacy and made changes on eng_spacysentiment
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@ -4121,11 +4121,38 @@
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"author": "Vishnu Nandakumar",
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"author": "Vishnu Nandakumar",
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"author_links": {
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"author_links": {
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"github": "Vishnunkumar",
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"github": "Vishnunkumar",
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"twitter": "vishnun_uchiha"
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"twitter": "vishnunkumar_"
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},
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},
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"category": ["pipeline"],
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"category": ["pipeline"],
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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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"id": "nligraphspacy",
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"title": "nligraphspacy",
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"slogan": "Knowledge graph using NLP Spacy",
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"description": "Knowledge graph pipeline for simple english sentences using pre-trained spaCy models",
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"github": "vishnunkumar/nligraphspacy",
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"pip": "nligraphspacy",
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"code_example": [
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"# Please download the model from the repository and replace the directory with your own i.e where you have kept the model",
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"import spacy",
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"kgmodel = spacy.load('nligraphspacy')",
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"text = She did well in her exams",
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"doc = nlp(text)",
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"for tok in doc: print(tok, tok.ent_type_)",
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"# She SOURCE-NODE did EDGE well TARGET-NODE in her exams TARGET-NODE"
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],
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"thumb": "",
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"image": "",
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"code_language": "python",
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"author": "Vishnu Nandakumar",
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"author_links": {
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"github": "Vishnunkumar",
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"twitter": "vishnunkumar_"
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},
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"category": ["pipeline"],
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"tags": ["pipeline", "nlp", "ner", "knowlegde graph"]
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},
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{
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{
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"id": "textnets",
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"id": "textnets",
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"slogan": "Text analysis with networks",
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"slogan": "Text analysis with networks",
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