Linking pages
- Gender and verbs across 100,000 stories: a tidy analysis – Variance Explained http://varianceexplained.org/r/tidytext-gender-plots/ 158 comments
- Who wrote the anti-Trump New York Times op-ed? Using tidytext to find document similarity – Variance Explained http://varianceexplained.org/r/op-ed-text-analysis/ 84 comments
- Writing a letter to DataCamp | Julia Silge https://juliasilge.com/blog/datacamp-misconduct/ 69 comments
- Words growing or shrinking in Hacker News titles: a tidy analysis – Variance Explained http://varianceexplained.org/r/hn-trends/ 14 comments
- Grasp R Programming with Free Open-Source Books - OSS Blog https://www.ossblog.org/grasp-r-programming-open-source-books/ 12 comments
- R community blasts DataCamp response to exec's 'inappropriate behavior' | Computerworld https://www.computerworld.com/article/3389684/r-community-blasts-datacamp-response-to-execs-inappropriate-behavior.html 6 comments
- LEGO color themes as topic models // Nathanael Aff http://nateaff.com/2017/09/11/lego-topic-models/ 6 comments
- Best R packages for data import, data wrangling, data visualization | Computerworld http://www.computerworld.com/article/2921176/business-intelligence/great-r-packages-for-data-import-wrangling-visualization.html 6 comments
- Introducing the schrute Package: the Entire Transcripts From The Office · technistema https://technistema.com/posts/introducing-the-schrute-package-the-entire-transcripts-from-the-office/ 6 comments
- 40 Best Resources to Learn Natural Language Processing [FREE]- 2023 https://www.mltut.com/best-resources-to-learn-natural-language-processing/ 2 comments
- Angular vs React : text analysis of commit messages | by Sergey Abakumoff | Medium https://medium.com/@sAbakumoff/angular-vs-react-text-analysis-of-commit-messages-1cda199f3bdb#.3ln9lj6fj 1 comment
- Working as a Data Scientist at Stack Overflow, with Julia Silge - DEV Community https://dev.to/walker/working-as-a-data-scientist-at-stack-overflow-with-julia-silge 0 comments
- Text mining for top academic journals - Miao Yu | 于淼 https://yufree.cn/en/2017/07/07/text-mining/ 0 comments
- Culture Dive into Silicon Valley - the TV show vs. the best books on startups | by Aurel Pasztor | Medium https://medium.com/@aurlup/culture-dive-in-silicon-valley-tv-vs-books-f5723aea76c2 0 comments
- Two years as a Data Scientist at Stack Overflow – Variance Explained http://varianceexplained.org/r/two-years-data-scientist/ 0 comments
- How Ned got Fland-diddly-anderised http://www.nathancunn.com/2019-03-07-simpsons-flanderisation/ 0 comments
- Trump's Android and iPhone tweets, one year later – Variance Explained http://varianceexplained.org/r/trump-followup/ 0 comments
- Examining the arc of 100,000 stories: a tidy analysis – Variance Explained http://varianceexplained.org/r/tidytext-plots/ 0 comments
- Introducing the schrute Package: the Entire Transcripts From The Office | by Brad Lindblad | Towards Data Science https://towardsdatascience.com/introducing-the-schrute-package-the-entire-transcripts-from-the-office-cfc13fe1e769 0 comments
- GitHub - keon/awesome-nlp: A curated list of resources dedicated to Natural Language Processing (NLP) https://github.com/keonkim/awesome-nlp 0 comments
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