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2. Beautiful Soup (HTML parser) - Wikipedia

   en.wikipedia.org/wiki/Beautiful_Soup_(HTML_parser)

   In 2021, Python 2.7 support was retired and the release 4.9.3 was the last to support Python 2.7. Usage. Beautiful Soup represents parsed data as a tree which can be searched and iterated over with ordinary Python loops. Code example. The example below uses the Python standard library's urllib to load Wikipedia's main page, then uses Beautiful ...

3. Tag soup - Wikipedia

   en.wikipedia.org/wiki/Tag_soup

   Beautiful Soup is a Python DOM-like parser for HTML/XML which can handle malformed markup. tagsoup: a library for Haskell language. Valid deviations from XHTML. Unlike the strict XHTML, HTML and its predecessor SGML are designed to be written by humans, and already have a significant degree of flexibility in syntax to reduce boilerplate. These ...

4. Beautiful Soup - Wikipedia

   en.wikipedia.org/wiki/Beautiful_Soup

   "Beautiful Soup", a 2014 work by Australian composer Leon Coward; Beautiful Soup (HTML parser), an HTML parser written in the Python programming language; See also. Boeing Duveen and The Beautiful Soup, a British psychedelic rock band of the 1960s; Soup, Beautiful Soup and South American Kitchen, a book by Felipe Rojas-Lombardi

5. Web scraping - Wikipedia

   en.wikipedia.org/wiki/Web_scraping

   Web scraping. Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. [1] Web scraping software may directly access the World Wide Web using the Hypertext Transfer Protocol or a web browser. While web scraping can be done manually by a software user, the term typically refers to automated ...

6. Using Flipped Classroom Approach to Explore Deep Learning in ...

   files.eric.ed.gov/fulltext/EJ1100618.pdf

   The IAFOR Journal of Education Volume III - Issue I - Winter 2015 !! 172 ! Abstract This project used two Flipped Classroom approaches to stimulate deep learning in large

7. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...

8. Caffe (software) - Wikipedia

   en.wikipedia.org/wiki/Caffe_(software)

   Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at University of California, Berkeley. It is open source, under a BSD license. [4] It is written in C++, with a Python interface. [5]

9. A Corpus-Based Study of English Synonyms: Appropriate, Proper ...

   files.eric.ed.gov/fulltext/EJ1229630.pdf

   LEARN Journal :Language Education and Acquisition Research Network Journal, Volume 10, Issue 2, 2017 11 A number of previous studies were conducted to identify words in sets of synonyms.