Our Favorite Posts Of Last Week (Nov 25, 2018)

A short introduction to Natural Language Processing (NLP) in Python with spaCy

Natural Language Processing (Natural Language Processing (NLP)) is one of the most interesting sub-fields of data science, and data scientists are increasingly expected to be able to whip up solutions that involve the exploitation of unstructured text data.
Link: https://towardsdatascience.com/a-short-introduction-to-Natural Language Processing (NLP)-in-python-with-spacy-d0aa819af3ad
Word Count: 1596

Progressive Web Apps: A Convincing Case for Native-like Apps on the Web

They are essentially web applications that uses the very latest modern web technologies (service workers) to deliver amazingly awesome user-experiences with Native-appyness on the web.
Link: https://blog.bitsrc.io/progressive-web-apps-a-convincing-case-for-native-like-apps-on-the-web-8732bfa07945
Word Count: 1369

6 ways to Sort Pandas Dataframe: Pandas Tutorial

Often you want to sort Pandas data frame in a specific way. Typically, one may want to sort pandas data frame based on the values of one or more columns or sort based on the values of row index or row names of pandas dataframe.
Link: http://cmdlinetips.com/2018/02/how-to-sort-pandas-dataframe-by-columns-and-row/
Word Count: 933

Language modeling tutorial in torchtext (Practical Torchtext part 2)

add_special_case simply tells the tokenizer to parse a certain string in a certain way. The list after the special case string represents how we want the string to be tokenized. Now, we’re ready to load the WikiText2 dataset.
Link: http://mlexplained.com/2018/02/15/language-modeling-tutorial-in-torchtext-practical-torchtext-part-2/
Word Count: 1600

Beyond Word Embeddings Part 4

Since the advent of word2vec, neural word embeddings have become a go to method for encapsulating distributional semantics in Natural Language Processing (NLP) applications.
Link: https://towardsdatascience.com/beyond-word-embeddings-part-4-introducing-semantic-structure-to-neural-Natural Language Processing (NLP)-96cf8a2723fb
Word Count: 1441

A Practitioner's Guide to Natural Language Processing (Part I) — Processing & Understanding Text

Thanks to Springboard for helping me develop this content as a way to make learning Natural Language Processing (NLP) easier for everyone and also to all the excellent students in the Data Science Career Track bootcamp for giving me new perspectives in this domain.
Link: https://towardsdatascience.com/a-practitioners-guide-to-natural-language-processing-part-i-processing-understanding-text-9f4abfd13e72
Word Count: 7414

Natural Language Processing is Fun!

This article is part of an on-going series on Natural Language Processing (NLP): Part 1, Part 2. You can also read a reader-translated version of this article in 普通话.
Link: https://medium.com/@ageitgey/natural-language-processing-is-fun-9a0bff37854e
Word Count: 3771