Auto-format and fix image [ci skip]

This commit is contained in:
Ines Montani 2020-02-23 13:56:50 +01:00
parent ddf63b97a8
commit 4890db6339
1 changed files with 4 additions and 4 deletions

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@ -1005,11 +1005,11 @@
"title": "Natural Language Processing Using Python", "title": "Natural Language Processing Using Python",
"slogan": "No Starch Press, 2020", "slogan": "No Starch Press, 2020",
"description": "Natural Language Processing Using Python is an introduction to natural language processing (NLP), the task of converting human language into data that a computer can process. The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and maintaining the state of a conversation.", "description": "Natural Language Processing Using Python is an introduction to natural language processing (NLP), the task of converting human language into data that a computer can process. The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and maintaining the state of a conversation.",
"cover": "https://nostarch.com/sites/default/files/styles/uc_product_full/public/NaturalLanguageProcessing_final_v01.jpg", "cover": "https://i.imgur.com/w0iycjl.jpg",
"url": "https://nostarch.com/NLPPython", "url": "https://nostarch.com/NLPPython",
"author": "Yuli Vasiliev", "author": "Yuli Vasiliev",
"category": ["books"] "category": ["books"]
}, },
{ {
"type": "education", "type": "education",
"id": "oreilly-python-ds", "id": "oreilly-python-ds",
@ -1531,13 +1531,13 @@
"nlp.add_pipe(conllformatter, after='parser')", "nlp.add_pipe(conllformatter, after='parser')",
"doc = nlp('I like cookies. Do you?')", "doc = nlp('I like cookies. Do you?')",
"conll = doc._.conll", "conll = doc._.conll",
"print(doc._.conll_str_headers)", "print(doc._.conll_str_headers)",
"print(doc._.conll_str)" "print(doc._.conll_str)"
], ],
"code_language": "python", "code_language": "python",
"author": "Bram Vanroy", "author": "Bram Vanroy",
"author_links": { "author_links": {
"github": "BramVanroy", "github": "BramVanroy",
"twitter": "BramVanroy", "twitter": "BramVanroy",
"website": "https://bramvanroy.be" "website": "https://bramvanroy.be"
}, },