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/*******************************************************************************************************************
-- Title : [NLP] Free e-book and Sample Corpus
-- Reference : googling
-- Key word : ebook e-book sample corpus text 텍스트 이북 코퍼스 파일 file 샘플 소스 source
*******************************************************************************************************************/
■ Project Gutenberg
ㅇ 죄와 벌 | Crime and Punishment
http://www.gutenberg.org/files/2554/2554.txt
ㅇ 모비딕 | Moby dick
http://www.gutenberg.org/files/2701/2701-0.txt
ㅇ 이상한 나라의 엘리스 | Alice's Adventures in Wonderland
http://www.gutenberg.org/cache/epub/28885/pg28885.txt
■ Website Browsing
ㅇ Reviews of a Hotel obtained Tripadvisor's Website
https://s3-ap-south-1.amazonaws.com/av-blog-media/wp-content/uploads/2017/04/04080929/...
■ Files
US20160049961A1.txtsource = "spaCy is an open-source software library for advanced Natural-Language-Processing, " \
"written in the programming languages Python -Cython 4.5.678. " \
"It offers the fastest syntactic parser in the world. " \
"The library is published under the MIT license and currently supports English and German, " \
"as well as tokenization for Chinese and several other languages. " \
"Unlike NLTK, which is mainly * intended for teaching and research, " \
"spaCy focuses on providing software for production usage. As of version 11.0, " \
"spaCy also supports deep learning workflows that allow connecting-statistical-models trained " \
"by popular machine learning libraries like TensorFlow, Keras or Scikit-learn. " \
"spaCy's machine learning library, Thinc, is also available as a separate open-source Python library."
출처: http://dbrang.tistory.com/ [dBRang]source = "spaCy is an open-source software library for advanced Natural-Language-Processing, " \
"written in the programming languages Python -Cython 4.5.678. " \
"It offers the fastest syntactic parser in the world. " \
"The library is published under the MIT license and currently supports English and German, " \
"as well as tokenization for Chinese and several other languages. " \
"Unlike NLTK, which is mainly * intended for teaching and research, " \
"spaCy focuses on providing software for production usage. As of version 11.0, " \
"spaCy also supports deep learning workflows that allow connecting-statistical-models trained " \
"by popular machine learning libraries like TensorFlow, Keras or Scikit-learn. " \
"spaCy's machine learning library, Thinc, is also available as a separate open-source Python library."
출처: http://dbrang.tistory.com/ [dBRang]
source = "spaCy is an open-source software library for advanced Natural-Language-Processing, " \
"written in the programming languages Python -Cython 4.5.678. " \
"It offers the fastest syntactic parser in the world. " \
"The library is published under the MIT license and currently supports English and German, " \
"as well as tokenization for Chinese and several other languages. " \
"Unlike NLTK, which is mainly * intended for teaching and research, " \
"spaCy focuses on providing software for production usage. As of version 11.0, " \
"spaCy also supports deep learning workflows that allow connecting-statistical-models trained " \
"by popular machine learning libraries like TensorFlow, Keras or Scikit-learn. " \
"spaCy's machine learning library, Thinc, is also available as a separate open-source Python library."
출처: http://dbrang.tistory.com/ [dBRang]
source = "spaCy is an open-source software library for advanced Natural-Language-Processing, " \
"written in the programming languages Python -Cython 4.5.678. " \
"It offers the fastest syntactic parser in the world. " \
"The library is published under the MIT license and currently supports English and German, " \
"as well as tokenization for Chinese and several other languages. " \
"Unlike NLTK, which is mainly * intended for teaching and research, " \
"spaCy focuses on providing software for production usage. As of version 11.0, " \
"spaCy also supports deep learning workflows that allow connecting-statistical-models trained " \
"by popular machine learning libraries like TensorFlow, Keras or Scikit-learn. " \
"spaCy's machine learning library, Thinc, is also available as a separate open-source Python library."
출처: http://dbrang.tistory.com/ [dBRang]
■ Source
source = "spaCy is an open-source software library for advanced Natural-Language-Processing, " \"written in the programming languages Python -Cython 4.5.678. " \
"It offers the fastest syntactic parser in the world. " \
"The library is published under the MIT license and currently supports English and German, " \
"as well as tokenization for Chinese and several other languages. " \
"Unlike NLTK, which is mainly * intended for teaching and research, " \
"spaCy focuses on providing software for production usage. As of version 11.0, " \
"spaCy also supports deep learning workflows that allow connecting-statistical-models trained " \
"by popular machine learning libraries like TensorFlow, Keras or Scikit-learn. " \
"spaCy's machine learning library, Thinc, is also available as a separate open-source Python library."
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