mirror of
https://github.com/explosion/spaCy.git
synced 2025-10-31 07:57:35 +03:00
Auto-format [ci skip]
This commit is contained in:
Ines Montani
parent
9e8a7e08c1
commit
d2c515354b
|
|
@ -36,29 +36,29 @@
|
||||||
"github": "SamEdwardes/spaCyTextBlob",
|
"github": "SamEdwardes/spaCyTextBlob",
|
||||||
"pip": "spacytextblob",
|
"pip": "spacytextblob",
|
||||||
"code_example": [
|
"code_example": [
|
||||||
"import spacy",
|
"import spacy",
|
||||||
"from spacytextblob.spacytextblob import SpacyTextBlob",
|
"from spacytextblob.spacytextblob import SpacyTextBlob",
|
||||||
"",
|
"",
|
||||||
"nlp = spacy.load('en_core_web_sm')",
|
"nlp = spacy.load('en_core_web_sm')",
|
||||||
"spacy_text_blob = SpacyTextBlob()",
|
"spacy_text_blob = SpacyTextBlob()",
|
||||||
"nlp.add_pipe(spacy_text_blob)",
|
"nlp.add_pipe(spacy_text_blob)",
|
||||||
"text = 'I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy.'",
|
"text = 'I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy.'",
|
||||||
"doc = nlp(text)",
|
"doc = nlp(text)",
|
||||||
"doc._.sentiment.polarity # Polarity: -0.125",
|
"doc._.sentiment.polarity # Polarity: -0.125",
|
||||||
"doc._.sentiment.subjectivity # Sujectivity: 0.9",
|
"doc._.sentiment.subjectivity # Sujectivity: 0.9",
|
||||||
"doc._.sentiment.assessments # Assessments: [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]"
|
"doc._.sentiment.assessments # Assessments: [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]"
|
||||||
],
|
],
|
||||||
"code_language": "python",
|
"code_language": "python",
|
||||||
"url": "https://spacytextblob.netlify.app/",
|
"url": "https://spacytextblob.netlify.app/",
|
||||||
"author": "Sam Edwardes",
|
"author": "Sam Edwardes",
|
||||||
"author_links": {
|
"author_links": {
|
||||||
"twitter": "TheReaLSamlam",
|
"twitter": "TheReaLSamlam",
|
||||||
"github": "SamEdwardes",
|
"github": "SamEdwardes",
|
||||||
"website": "https://samedwardes.com"
|
"website": "https://samedwardes.com"
|
||||||
},
|
},
|
||||||
"category": ["pipeline"],
|
"category": ["pipeline"],
|
||||||
"tags": ["sentiment", "textblob"]
|
"tags": ["sentiment", "textblob"]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"id": "spacy-ray",
|
"id": "spacy-ray",
|
||||||
"title": "spacy-ray",
|
"title": "spacy-ray",
|
||||||
|
|
@ -2602,14 +2602,14 @@
|
||||||
"description": "A spaCy rule-based pipeline for identifying positive cases of COVID-19 from clinical text. A version of this system was deployed as part of the US Department of Veterans Affairs biosurveillance response to COVID-19.",
|
"description": "A spaCy rule-based pipeline for identifying positive cases of COVID-19 from clinical text. A version of this system was deployed as part of the US Department of Veterans Affairs biosurveillance response to COVID-19.",
|
||||||
"pip": "cov-bsv",
|
"pip": "cov-bsv",
|
||||||
"code_example": [
|
"code_example": [
|
||||||
"import cov_bsv",
|
"import cov_bsv",
|
||||||
"",
|
"",
|
||||||
"nlp = cov_bsv.load()",
|
"nlp = cov_bsv.load()",
|
||||||
"doc = nlp('Pt tested for COVID-19. His wife was recently diagnosed with novel coronavirus. SARS-COV-2: Detected')",
|
"doc = nlp('Pt tested for COVID-19. His wife was recently diagnosed with novel coronavirus. SARS-COV-2: Detected')",
|
||||||
"",
|
"",
|
||||||
"print(doc.ents)",
|
"print(doc.ents)",
|
||||||
"print(doc._.cov_classification)",
|
"print(doc._.cov_classification)",
|
||||||
"cov_bsv.visualize_doc(doc)"
|
"cov_bsv.visualize_doc(doc)"
|
||||||
],
|
],
|
||||||
"category": ["pipeline", "standalone", "biomedical", "scientific"],
|
"category": ["pipeline", "standalone", "biomedical", "scientific"],
|
||||||
"tags": ["clinical", "epidemiology", "covid-19", "surveillance"],
|
"tags": ["clinical", "epidemiology", "covid-19", "surveillance"],
|
||||||
|
|
@ -2627,18 +2627,18 @@
|
||||||
"description": "A toolkit for clinical NLP with spaCy. Features include sentence splitting, section detection, and asserting negation, family history, and uncertainty.",
|
"description": "A toolkit for clinical NLP with spaCy. Features include sentence splitting, section detection, and asserting negation, family history, and uncertainty.",
|
||||||
"pip": "medspacy",
|
"pip": "medspacy",
|
||||||
"code_example": [
|
"code_example": [
|
||||||
"import medspacy",
|
"import medspacy",
|
||||||
"from medspacy.ner import TargetRule",
|
"from medspacy.ner import TargetRule",
|
||||||
"",
|
"",
|
||||||
"nlp = medspacy.load()",
|
"nlp = medspacy.load()",
|
||||||
"print(nlp.pipe_names)",
|
"print(nlp.pipe_names)",
|
||||||
"",
|
"",
|
||||||
"nlp.get_pipe('target_matcher').add([TargetRule('stroke', 'CONDITION'), TargetRule('diabetes', 'CONDITION'), TargetRule('pna', 'CONDITION')])",
|
"nlp.get_pipe('target_matcher').add([TargetRule('stroke', 'CONDITION'), TargetRule('diabetes', 'CONDITION'), TargetRule('pna', 'CONDITION')])",
|
||||||
"doc = nlp('Patient has hx of stroke. Mother diagnosed with diabetes. No evidence of pna.')",
|
"doc = nlp('Patient has hx of stroke. Mother diagnosed with diabetes. No evidence of pna.')",
|
||||||
"",
|
"",
|
||||||
"for ent in doc.ents:",
|
"for ent in doc.ents:",
|
||||||
" print(ent, ent._.is_negated, ent._.is_family, ent._.is_historical)",
|
" print(ent, ent._.is_negated, ent._.is_family, ent._.is_historical)",
|
||||||
"medspacy.visualization.visualize_ent(doc)"
|
"medspacy.visualization.visualize_ent(doc)"
|
||||||
],
|
],
|
||||||
"category": ["biomedical", "scientific", "research"],
|
"category": ["biomedical", "scientific", "research"],
|
||||||
"tags": ["clinical"],
|
"tags": ["clinical"],
|
||||||
|
|
@ -2647,14 +2647,14 @@
|
||||||
"github": "medspacy"
|
"github": "medspacy"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"id": "rita-dsl",
|
"id": "rita-dsl",
|
||||||
"title": "RITA DSL",
|
"title": "RITA DSL",
|
||||||
"slogan": "Domain Specific Language for creating language rules",
|
"slogan": "Domain Specific Language for creating language rules",
|
||||||
"github": "zaibacu/rita-dsl",
|
"github": "zaibacu/rita-dsl",
|
||||||
"description": "A Domain Specific Language (DSL) for building language patterns. These can be later compiled into spaCy patterns, pure regex, or any other format",
|
"description": "A Domain Specific Language (DSL) for building language patterns. These can be later compiled into spaCy patterns, pure regex, or any other format",
|
||||||
"pip": "rita-dsl",
|
"pip": "rita-dsl",
|
||||||
"thumb": "https://raw.githubusercontent.com/zaibacu/rita-dsl/master/docs/assets/logo-100px.png",
|
"thumb": "https://raw.githubusercontent.com/zaibacu/rita-dsl/master/docs/assets/logo-100px.png",
|
||||||
"code_language": "python",
|
"code_language": "python",
|
||||||
"code_example": [
|
"code_example": [
|
||||||
"import spacy",
|
"import spacy",
|
||||||
|
|
@ -2754,8 +2754,8 @@
|
||||||
"{",
|
"{",
|
||||||
" var lexeme = doc.Vocab[word.Text];",
|
" var lexeme = doc.Vocab[word.Text];",
|
||||||
" Console.WriteLine($@\"{lexeme.Text} {lexeme.Orth} {lexeme.Shape} {lexeme.Prefix} {lexeme.Suffix} {lexeme.IsAlpha} {lexeme.IsDigit} {lexeme.IsTitle} {lexeme.Lang}\");",
|
" Console.WriteLine($@\"{lexeme.Text} {lexeme.Orth} {lexeme.Shape} {lexeme.Prefix} {lexeme.Suffix} {lexeme.IsAlpha} {lexeme.IsDigit} {lexeme.IsTitle} {lexeme.Lang}\");",
|
||||||
"}"
|
"}"
|
||||||
],
|
],
|
||||||
"code_language": "csharp",
|
"code_language": "csharp",
|
||||||
"author": "Antonio Miras",
|
"author": "Antonio Miras",
|
||||||
"author_links": {
|
"author_links": {
|
||||||
|
|
@ -2763,33 +2763,33 @@
|
||||||
},
|
},
|
||||||
"category": ["nonpython"]
|
"category": ["nonpython"]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"id": "ruts",
|
"id": "ruts",
|
||||||
"title": "ruTS",
|
"title": "ruTS",
|
||||||
"slogan": "A library for statistics extraction from texts in Russian",
|
"slogan": "A library for statistics extraction from texts in Russian",
|
||||||
"description": "The library allows extracting the following statistics from a text: basic statistics, readability metrics, lexical diversity metrics, morphological statistics",
|
"description": "The library allows extracting the following statistics from a text: basic statistics, readability metrics, lexical diversity metrics, morphological statistics",
|
||||||
"github": "SergeyShk/ruTS",
|
"github": "SergeyShk/ruTS",
|
||||||
"pip": "ruts",
|
"pip": "ruts",
|
||||||
"code_example": [
|
"code_example": [
|
||||||
"import spacy",
|
"import spacy",
|
||||||
"import ruts",
|
"import ruts",
|
||||||
"",
|
"",
|
||||||
"nlp = spacy.load('ru_core_news_sm')",
|
"nlp = spacy.load('ru_core_news_sm')",
|
||||||
"nlp.add_pipe('basic', last=True)",
|
"nlp.add_pipe('basic', last=True)",
|
||||||
"doc = nlp('мама мыла раму')",
|
"doc = nlp('мама мыла раму')",
|
||||||
"doc._.basic.get_stats()"
|
"doc._.basic.get_stats()"
|
||||||
],
|
],
|
||||||
"code_language": "python",
|
"code_language": "python",
|
||||||
"thumb": "https://habrastorage.org/webt/6z/le/fz/6zlefzjavzoqw_wymz7v3pwgfp4.png",
|
"thumb": "https://habrastorage.org/webt/6z/le/fz/6zlefzjavzoqw_wymz7v3pwgfp4.png",
|
||||||
"image": "https://clipartart.com/images/free-tree-roots-clipart-black-and-white-2.png",
|
"image": "https://clipartart.com/images/free-tree-roots-clipart-black-and-white-2.png",
|
||||||
"author": "Sergey Shkarin",
|
"author": "Sergey Shkarin",
|
||||||
"author_links": {
|
"author_links": {
|
||||||
"twitter": "shk_sergey",
|
"twitter": "shk_sergey",
|
||||||
"github": "SergeyShk"
|
"github": "SergeyShk"
|
||||||
},
|
},
|
||||||
"category": ["pipeline", "standalone"],
|
"category": ["pipeline", "standalone"],
|
||||||
"tags": ["Text Analytics", "Russian"]
|
"tags": ["Text Analytics", "Russian"]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
|
|
||||||
"categories": [
|
"categories": [
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue
Block a user