corpus.blog
56,966 blogs · [ { "id": "01a08792-4440-732d-bf0c-86c2a1c4c242", "title": "Feeling the rstudio::conf ❤️", "url": "https://juliasilge.com/blog/rstudio-conf-2019/", "published_at": "2019-01-20T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a2c30d4d", "title": "Text classification with tidy data principles", "url": "https://juliasilge.com/blog/tidy-text-classification/", "published_at": "2018-12-24T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a38cd2d6", "title": "Word associations from the Small World of Words", "url": "https://juliasilge.com/blog/word-associations/", "published_at": "2018-12-16T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a3c31741", "title": "TensorFlow, Jane Austen, and Text Generation", "url": "https://juliasilge.com/blog/tensorflow-generation/", "published_at": "2018-10-04T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a42d1277", "title": "Training, evaluating, and interpreting topic models", "url": "https://juliasilge.com/blog/evaluating-stm/", "published_at": "2018-09-08T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a49ef8c3", "title": "Amazon Alexa and Accented English", "url": "https://juliasilge.com/blog/amazon-alexa/", "published_at": "2018-07-19T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a4db2293", "title": "Punctuation in literature", "url": "https://juliasilge.com/blog/punctution-literature/", "published_at": "2018-06-30T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a5a4a8ae", "title": "Public Data Release of Stack Overflow’s 2018 Developer Survey", "url": "https://juliasilge.com/blog/stack-survey-2018/", "published_at": "2018-05-30T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a5c4904d", "title": "Understanding PCA using Stack Overflow data", "url": "https://juliasilge.com/blog/stack-overflow-pca/", "published_at": "2018-05-18T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a6910512", "title": "Stack Overflow questions around the world", "url": "https://juliasilge.com/blog/stack-questions-cities/", "published_at": "2018-04-11T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a6fb2a31", "title": "The game is afoot! Topic modeling of Sherlock Holmes stories", "url": "https://juliasilge.com/blog/sherlock-holmes-stm/", "published_at": "2018-01-25T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a7b4820e", "title": "tidytext 0.1.6", "url": "https://juliasilge.com/blog/tidytext-0-1-6/", "published_at": "2018-01-10T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a8941108", "title": "One year as a data scientist at Stack Overflow", "url": "https://juliasilge.com/blog/one-year-at-stack/", "published_at": "2017-12-27T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a981704e", "title": "Tidy word vectors, take 2!", "url": "https://juliasilge.com/blog/word-vectors-take-two/", "published_at": "2017-11-27T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a985a1c3", "title": "New sports from random emoji", "url": "https://juliasilge.com/blog/emoji-sports/", "published_at": "2017-11-25T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2a9c1a094", "title": "Word Vectors with tidy data principles", "url": "https://juliasilge.com/blog/tidy-word-vectors/", "published_at": "2017-10-30T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2aa6f172b", "title": "From Power Calculations to P-Values: A/B Testing at Stack Overflow", "url": "https://juliasilge.com/blog/ab-testing/", "published_at": "2017-10-17T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2ab487598", "title": "Mapping ecosystems of software development", "url": "https://juliasilge.com/blog/tag-network/", "published_at": "2017-10-03T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2aba2b511", "title": "tidytext 0.1.4", "url": "https://juliasilge.com/blog/tidytext-0-1-4/", "published_at": "2017-09-30T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2ac9ae48c", "title": "Sentiment analysis using tidy data principles at DataCamp", "url": "https://juliasilge.com/blog/sentiment-datacamp/", "published_at": "2017-08-24T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2ad64c12f", "title": "Understanding gender roles in movies with text mining", "url": "https://juliasilge.com/blog/women-in-film/", "published_at": "2017-08-22T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2ad664e6d", "title": "Seeking guidance in choosing and evaluating R packages", "url": "https://juliasilge.com/blog/package-guidance/", "published_at": "2017-08-08T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2adde3c01", "title": "Navigating the R Package Universe", "url": "https://juliasilge.com/blog/navigating-packages/", "published_at": "2017-07-26T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2ae37667f", "title": "Text Mining of Stack Overflow Questions", "url": "https://juliasilge.com/blog/text-mining-stack-overflow/", "published_at": "2017-07-06T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2aeb905d6", "title": "Using tidycensus and leaflet to map Census data", "url": "https://juliasilge.com/blog/using-tidycensus/", "published_at": "2017-06-24T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2af134ea5", "title": "tidytext 0.1.3", "url": "https://juliasilge.com/blog/tidytext-0-1-3/", "published_at": "2017-06-18T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2afc5b4b6", "title": "Mining CRAN DESCRIPTION Files", "url": "https://juliasilge.com/blog/mining-cran-description/", "published_at": "2017-05-04T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2aff41a39", "title": "Gender Roles with Text Mining and N-grams", "url": "https://juliasilge.com/blog/gender-pronouns/", "published_at": "2017-04-15T00:00:00+00:00" }, { "id": "01a08792-4440-732d-bf0c-86c2b0c19d8e", "title": "How Do You Discover R Packages?", "url": "https://juliasilge.com/blog/package-search/", "published_at": "2017-03-20T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc63eefcad", "title": "Scraping CRAN with rvest", "url": "https://juliasilge.com/blog/scraping-cran/", "published_at": "2017-03-06T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc640745b8", "title": "What Programming Languages Are Used Most on Weekends?", "url": "https://juliasilge.com/blog/weekends-weekdays/", "published_at": "2017-02-07T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc64e8084b", "title": "Women in the 2016 Stack Overflow Survey", "url": "https://juliasilge.com/blog/women-survey/", "published_at": "2017-01-19T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc657ed120", "title": "Text Mining in R: A Tidy Approach", "url": "https://juliasilge.com/blog/rstudio-conf/", "published_at": "2017-01-14T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc65f374cb", "title": "Reddit Responds to the Election", "url": "https://juliasilge.com/blog/reddit-responds/", "published_at": "2016-12-06T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6614081d", "title": "Measuring Gobbledygook", "url": "https://juliasilge.com/blog/gobbledygook/", "published_at": "2016-11-25T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc664e6253", "title": "Mapping Election Results in Utah", "url": "https://juliasilge.com/blog/election-mapping/", "published_at": "2016-11-11T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc66b35ea5", "title": "Tidy Text Mining with R", "url": "https://juliasilge.com/blog/2016-10-28-tidy-text-mining/", "published_at": "2016-10-28T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6716e7fd", "title": "Non-Academic Careers for Astronomers and Physicists", "url": "https://juliasilge.com/blog/non-academic-careers/", "published_at": "2016-09-30T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc672b15cd", "title": "Singing the Bayesian Beginner Blues", "url": "https://juliasilge.com/blog/bayesian-blues/", "published_at": "2016-09-28T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc67d2bff6", "title": "Song Lyrics Across the United States", "url": "https://juliasilge.com/blog/song-lyrics-across/", "published_at": "2016-09-26T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc685d16df", "title": "We Are Not Very Evenly Distributed", "url": "https://juliasilge.com/blog/evenly-distributed/", "published_at": "2016-08-19T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc68e48a7d", "title": "Something Strange in the Neighborhood", "url": "https://juliasilge.com/blog/something-strange/", "published_at": "2016-08-05T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc69d07379", "title": "Return of the NEISS Data", "url": "https://juliasilge.com/blog/return-of-neiss/", "published_at": "2016-07-22T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6a91e536", "title": "Fatal Police Shootings Across the U.S.", "url": "https://juliasilge.com/blog/fatal-shootings/", "published_at": "2016-07-07T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6b1f8c9c", "title": "Term Frequency and tf-idf Using Tidy Data Principles", "url": "https://juliasilge.com/blog/term-frequency-tf-idf/", "published_at": "2016-06-27T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6c01c539", "title": "A Beginner's Guide to Travis-CI for R", "url": "https://juliasilge.com/blog/beginners-guide-to-travis/", "published_at": "2016-05-20T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6cfb6673", "title": "The Life-Changing Magic of Tidying Text", "url": "https://juliasilge.com/blog/life-changing-magic/", "published_at": "2016-04-29T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6d5f5da7", "title": "How I Learned to Stop Worrying and Love R CMD Check", "url": "https://juliasilge.com/blog/how-i-stopped/", "published_at": "2016-04-18T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6d784bbb", "title": "Who Came to Vote in Utah's Caucuses?", "url": "https://juliasilge.com/blog/who-came-to-vote/", "published_at": "2016-04-08T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6e330ceb", "title": "I Went to ROpenSci Unconference and All I Got Were These Lousy Hex Stickers", "url": "https://juliasilge.com/blog/i-went-to-ropensci/", "published_at": "2016-04-06T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6f1d9ee2", "title": "Trump Losing and Feeling the Bern in Utah", "url": "https://juliasilge.com/blog/mapping-utah-caucus/", "published_at": "2016-03-25T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6fc8ab3a", "title": "If I Loved Natural Language Processing Less, I Might Be Able to Talk About It More", "url": "https://juliasilge.com/blog/if-i-loved-nlp-less/", "published_at": "2016-03-18T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6fc94dbb", "title": "You Must Allow Me To Tell You How Ardently I Admire and Love Natural Language Processing", "url": "https://juliasilge.com/blog/you-must-allow-me/", "published_at": "2016-03-08T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc6ff342e8", "title": "My Baby Boomer Name Might Have Been \"Debbie\"", "url": "https://juliasilge.com/blog/my-baby-boomer-name/", "published_at": "2016-02-29T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc70da647c", "title": "Your Floor Is the Most Dangerous Thing In Your House", "url": "https://juliasilge.com/blog/your-floor/", "published_at": "2016-02-17T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc71264666", "title": "A Tall Drink of Water", "url": "https://juliasilge.com/blog/tall-drink-of-water/", "published_at": "2016-02-11T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc71819067", "title": "Death Comes to Us All", "url": "https://juliasilge.com/blog/death-comes/", "published_at": "2016-02-05T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc71b94b28", "title": "Connecting Religion and Demographics", "url": "https://juliasilge.com/blog/connecting-religion/", "published_at": "2016-02-01T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc71ba73a3", "title": "More Fun with Choropleth Maps", "url": "https://juliasilge.com/blog/more-fun-with-maps/", "published_at": "2016-01-25T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc72ba167c", "title": "Water World", "url": "https://juliasilge.com/blog/2016-01-19-water-world/", "published_at": "2016-01-19T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc730cda1b", "title": "Health Care Indicators in Utah Counties", "url": "https://juliasilge.com/blog/health-care-indicators/", "published_at": "2016-01-11T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc73bff3ed", "title": "This Is the Place, Apparently", "url": "https://juliasilge.com/blog/this-is-the-place/", "published_at": "2016-01-03T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc744db00a", "title": "Joy to the World, and also Anticipation, Disgust, Surprise...", "url": "https://juliasilge.com/blog/joy-to-the-world/", "published_at": "2015-12-22T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc74a21fb1", "title": "Ten Thousand Tweets", "url": "https://juliasilge.com/blog/ten-thousand-tweets/", "published_at": "2015-12-08T00:00:00+00:00" }, { "id": "01a08792-4441-713f-b4db-d2bc75325c22", "title": "License", "url": "https://juliasilge.com/license/", "published_at": null } ] posts Claim your blog
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juliasilge.com

2019

Feeling the rstudio::conf ❤️original ↗
20 Jan 2019

2018

Text classification with tidy data principlesoriginal ↗
24 Dec 2018
Word associations from the Small World of Wordsoriginal ↗
16 Dec 2018
TensorFlow, Jane Austen, and Text Generationoriginal ↗
4 Oct 2018
Training, evaluating, and interpreting topic modelsoriginal ↗
8 Sept 2018
Amazon Alexa and Accented Englishoriginal ↗
19 Jul 2018
Punctuation in literatureoriginal ↗
30 Jun 2018
Public Data Release of Stack Overflow’s 2018 Developer Surveyoriginal ↗
30 May 2018
Understanding PCA using Stack Overflow dataoriginal ↗
18 May 2018
Stack Overflow questions around the worldoriginal ↗
11 Apr 2018
The game is afoot! Topic modeling of Sherlock Holmes storiesoriginal ↗
25 Jan 2018
tidytext 0.1.6original ↗
10 Jan 2018

2017

One year as a data scientist at Stack Overfloworiginal ↗
27 Dec 2017
Tidy word vectors, take 2!original ↗
27 Nov 2017
New sports from random emojioriginal ↗
25 Nov 2017
Word Vectors with tidy data principlesoriginal ↗
30 Oct 2017
From Power Calculations to P-Values: A/B Testing at Stack Overfloworiginal ↗
17 Oct 2017
Mapping ecosystems of software developmentoriginal ↗
3 Oct 2017
tidytext 0.1.4original ↗
30 Sept 2017
Sentiment analysis using tidy data principles at DataCamporiginal ↗
24 Aug 2017
Understanding gender roles in movies with text miningoriginal ↗
22 Aug 2017
Seeking guidance in choosing and evaluating R packagesoriginal ↗
8 Aug 2017
Navigating the R Package Universeoriginal ↗
26 Jul 2017
Text Mining of Stack Overflow Questionsoriginal ↗
6 Jul 2017
Using tidycensus and leaflet to map Census dataoriginal ↗
24 Jun 2017
tidytext 0.1.3original ↗
18 Jun 2017
Mining CRAN DESCRIPTION Filesoriginal ↗
4 May 2017
Gender Roles with Text Mining and N-gramsoriginal ↗
15 Apr 2017
How Do You Discover R Packages?original ↗
20 Mar 2017
Scraping CRAN with rvestoriginal ↗
6 Mar 2017
What Programming Languages Are Used Most on Weekends?original ↗
7 Feb 2017
Women in the 2016 Stack Overflow Surveyoriginal ↗
19 Jan 2017
Text Mining in R: A Tidy Approachoriginal ↗
14 Jan 2017

2016

Reddit Responds to the Electionoriginal ↗
6 Dec 2016
Measuring Gobbledygookoriginal ↗
25 Nov 2016
Mapping Election Results in Utahoriginal ↗
11 Nov 2016
Tidy Text Mining with Roriginal ↗
28 Oct 2016
Non-Academic Careers for Astronomers and Physicistsoriginal ↗
30 Sept 2016
Singing the Bayesian Beginner Bluesoriginal ↗
28 Sept 2016
Song Lyrics Across the United Statesoriginal ↗
26 Sept 2016
We Are Not Very Evenly Distributedoriginal ↗
19 Aug 2016
Something Strange in the Neighborhoodoriginal ↗
5 Aug 2016
Return of the NEISS Dataoriginal ↗
22 Jul 2016
Fatal Police Shootings Across the U.S.original ↗
7 Jul 2016
Term Frequency and tf-idf Using Tidy Data Principlesoriginal ↗
27 Jun 2016
A Beginner's Guide to Travis-CI for Roriginal ↗
20 May 2016
The Life-Changing Magic of Tidying Textoriginal ↗
29 Apr 2016
How I Learned to Stop Worrying and Love R CMD Checkoriginal ↗
18 Apr 2016
Who Came to Vote in Utah's Caucuses?original ↗
8 Apr 2016
I Went to ROpenSci Unconference and All I Got Were These Lousy Hex Stickersoriginal ↗
6 Apr 2016
Trump Losing and Feeling the Bern in Utahoriginal ↗
25 Mar 2016
If I Loved Natural Language Processing Less, I Might Be Able to Talk About It Moreoriginal ↗
18 Mar 2016
You Must Allow Me To Tell You How Ardently I Admire and Love Natural Language Processingoriginal ↗
8 Mar 2016
My Baby Boomer Name Might Have Been "Debbie"original ↗
29 Feb 2016
Your Floor Is the Most Dangerous Thing In Your Houseoriginal ↗
17 Feb 2016
A Tall Drink of Wateroriginal ↗
11 Feb 2016
Death Comes to Us Alloriginal ↗
5 Feb 2016
Connecting Religion and Demographicsoriginal ↗
1 Feb 2016
More Fun with Choropleth Mapsoriginal ↗
25 Jan 2016
Water Worldoriginal ↗
19 Jan 2016
Health Care Indicators in Utah Countiesoriginal ↗
11 Jan 2016
This Is the Place, Apparentlyoriginal ↗
3 Jan 2016

2015

Joy to the World, and also Anticipation, Disgust, Surprise...original ↗
22 Dec 2015
Ten Thousand Tweetsoriginal ↗
8 Dec 2015

Undated

Licenseoriginal ↗
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