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Auto-format and fix image [ci skip]
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"title": "Natural Language Processing Using Python",
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"title": "Natural Language Processing Using Python",
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"slogan": "No Starch Press, 2020",
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"slogan": "No Starch Press, 2020",
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"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.",
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"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.",
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"cover": "https://nostarch.com/sites/default/files/styles/uc_product_full/public/NaturalLanguageProcessing_final_v01.jpg",
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"cover": "https://i.imgur.com/w0iycjl.jpg",
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"url": "https://nostarch.com/NLPPython",
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"url": "https://nostarch.com/NLPPython",
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"author": "Yuli Vasiliev",
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"author": "Yuli Vasiliev",
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"category": ["books"]
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"category": ["books"]
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},
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},
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{
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{
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"type": "education",
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"type": "education",
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"id": "oreilly-python-ds",
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"id": "oreilly-python-ds",
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@ -1531,13 +1531,13 @@
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"nlp.add_pipe(conllformatter, after='parser')",
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"nlp.add_pipe(conllformatter, after='parser')",
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"doc = nlp('I like cookies. Do you?')",
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"doc = nlp('I like cookies. Do you?')",
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"conll = doc._.conll",
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"conll = doc._.conll",
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"print(doc._.conll_str_headers)",
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"print(doc._.conll_str_headers)",
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"print(doc._.conll_str)"
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"print(doc._.conll_str)"
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],
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],
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"code_language": "python",
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"code_language": "python",
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"author": "Bram Vanroy",
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"author": "Bram Vanroy",
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"author_links": {
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"author_links": {
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"github": "BramVanroy",
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"github": "BramVanroy",
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"twitter": "BramVanroy",
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"twitter": "BramVanroy",
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"website": "https://bramvanroy.be"
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"website": "https://bramvanroy.be"
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},
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},
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