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added spacy-dbpedia-spotlight

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Martino Mensio 2021-02-12 19:06:51 +01:00
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website/meta/universe.json
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@ -1,6 +1,34 @@
{
"resources": [
{
{
"id": "spacy-dbpedia-spotlight",
"title": "DBpedia Spotlight for SpaCy",
"slogan": "Use DBpedia Spotlight to link entities inside SpaCy",
"description": "This library links SpaCy with [DBpedia Spotlight](https://www.dbpedia-spotlight.org/). You can easily get the DBpedia entities from your documents, using the public web service or by using your own instance of DBpedia Spotlight. The `doc.ents` are populated with the entities and all their details (URI, type, ...).",
"github": "MartinoMensio/spacy-dbpedia-spotlight",
"pip": "spacy-dbpedia-spotlight",
"code_example": [
"import spacy_dbpedia_spotlight",
"# load your model as usual",
"nlp = spacy.load('en_core_web_lg')",
"# add the pipeline stage",
"nlp.add_pipe('dbpedia_spotlight')",
"# get the document",
"doc = nlp('The president of USA is calling Boris Johnson to decide what to do about coronavirus')",
"# see the entities",
"print('Entities', [(ent.text, ent.label_, ent.kb_id_) for ent in doc.ents])",
"# inspect the raw data from DBpedia spotlight",
"print(doc.ents[0]._.dbpedia_raw_result)"
],
"category": ["models", "pipeline"],
"author": "Martino Mensio",
"author_links": {
"twitter": "MartinoMensio",
"github": "MartinoMensio",
"website": "https://martinomensio.github.io"
}
},
{
"id": "spacy-textblob",
"title": "spaCyTextBlob",
"slogan": "Easy sentiment analysis for spaCy using TextBlob",