-
Notifications
You must be signed in to change notification settings - Fork 21
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #5680 from openjournals/joss.06800
Merging automatically
- Loading branch information
Showing
3 changed files
with
1,251 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,324 @@ | ||
<?xml version="1.0" encoding="UTF-8"?> | ||
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1" | ||
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" | ||
xmlns:rel="http://www.crossref.org/relations.xsd" | ||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
version="5.3.1" | ||
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd"> | ||
<head> | ||
<doi_batch_id>20240725155751-1387524ca0bdd1c12df22de6144aaed7c7103c5d</doi_batch_id> | ||
<timestamp>20240725155751</timestamp> | ||
<depositor> | ||
<depositor_name>JOSS Admin</depositor_name> | ||
<email_address>[email protected]</email_address> | ||
</depositor> | ||
<registrant>The Open Journal</registrant> | ||
</head> | ||
<body> | ||
<journal> | ||
<journal_metadata> | ||
<full_title>Journal of Open Source Software</full_title> | ||
<abbrev_title>JOSS</abbrev_title> | ||
<issn media_type="electronic">2475-9066</issn> | ||
<doi_data> | ||
<doi>10.21105/joss</doi> | ||
<resource>https://joss.theoj.org</resource> | ||
</doi_data> | ||
</journal_metadata> | ||
<journal_issue> | ||
<publication_date media_type="online"> | ||
<month>07</month> | ||
<year>2024</year> | ||
</publication_date> | ||
<journal_volume> | ||
<volume>9</volume> | ||
</journal_volume> | ||
<issue>99</issue> | ||
</journal_issue> | ||
<journal_article publication_type="full_text"> | ||
<titles> | ||
<title>tidylda: An R Package for Latent Dirichlet Allocation | ||
Using ‘tidyverse’ Conventions</title> | ||
</titles> | ||
<contributors> | ||
<person_name sequence="first" contributor_role="author"> | ||
<given_name>Tommy</given_name> | ||
<surname>Jones</surname> | ||
<ORCID>https://orcid.org/0000-0001-6457-2452</ORCID> | ||
</person_name> | ||
</contributors> | ||
<publication_date> | ||
<month>07</month> | ||
<day>25</day> | ||
<year>2024</year> | ||
</publication_date> | ||
<pages> | ||
<first_page>6800</first_page> | ||
</pages> | ||
<publisher_item> | ||
<identifier id_type="doi">10.21105/joss.06800</identifier> | ||
</publisher_item> | ||
<ai:program name="AccessIndicators"> | ||
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
</ai:program> | ||
<rel:program> | ||
<rel:related_item> | ||
<rel:description>Software archive</rel:description> | ||
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.12809519</rel:inter_work_relation> | ||
</rel:related_item> | ||
<rel:related_item> | ||
<rel:description>GitHub review issue</rel:description> | ||
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/6800</rel:inter_work_relation> | ||
</rel:related_item> | ||
</rel:program> | ||
<doi_data> | ||
<doi>10.21105/joss.06800</doi> | ||
<resource>https://joss.theoj.org/papers/10.21105/joss.06800</resource> | ||
<collection property="text-mining"> | ||
<item> | ||
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.06800.pdf</resource> | ||
</item> | ||
</collection> | ||
</doi_data> | ||
<citation_list> | ||
<citation key="tidyverse"> | ||
<article_title>Welcome to the tidyverse</article_title> | ||
<author>Wickham</author> | ||
<journal_title>Journal of Open Source | ||
Software</journal_title> | ||
<issue>43</issue> | ||
<volume>4</volume> | ||
<doi>10.21105/joss.01686</doi> | ||
<cYear>2019</cYear> | ||
<unstructured_citation>Wickham, H., Averick, M., Bryan, J., | ||
Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., | ||
Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. | ||
M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … | ||
Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source | ||
Software, 4(43), 1686. | ||
https://doi.org/10.21105/joss.01686</unstructured_citation> | ||
</citation> | ||
<citation key="roberts2019stm"> | ||
<article_title>stm : An R Package for Structural Topic | ||
Models</article_title> | ||
<author>Roberts</author> | ||
<journal_title>Journal of Statistical | ||
Software</journal_title> | ||
<issue>2</issue> | ||
<volume>91</volume> | ||
<doi>10.18637/jss.v091.i02</doi> | ||
<cYear>2019</cYear> | ||
<unstructured_citation>Roberts, M. E., Stewart, B. M., & | ||
Tingley, D. (2019). stm : An R Package for Structural Topic Models. | ||
Journal of Statistical Software, 91(2). | ||
https://doi.org/10.18637/jss.v091.i02</unstructured_citation> | ||
</citation> | ||
<citation key="tidytextjss"> | ||
<article_title>Text Mining with R: A Tidy | ||
Approach</article_title> | ||
<author>Fay</author> | ||
<journal_title>Journal of Statistical | ||
Software</journal_title> | ||
<issue>Book Review 1</issue> | ||
<volume>83</volume> | ||
<doi>10.18637/jss.v083.b01</doi> | ||
<cYear>2018</cYear> | ||
<unstructured_citation>Fay, C. (2018). Text Mining with R: A | ||
Tidy Approach. Journal of Statistical Software, 83(Book Review 1). | ||
https://doi.org/10.18637/jss.v083.b01</unstructured_citation> | ||
</citation> | ||
<citation key="quanteda"> | ||
<article_title>quanteda: An R package for the quantitative | ||
analysis of textual data</article_title> | ||
<author>Benoit</author> | ||
<journal_title>Journal of Open Source | ||
Software</journal_title> | ||
<issue>30</issue> | ||
<volume>3</volume> | ||
<doi>10.21105/joss.00774</doi> | ||
<cYear>2018</cYear> | ||
<unstructured_citation>Benoit, K., Watanabe, K., Wang, H., | ||
Nulty, P., Obeng, A., Müller, S., & Matsuo, A. (2018). quanteda: An | ||
R package for the quantitative analysis of textual data. Journal of Open | ||
Source Software, 3(30), 774. | ||
https://doi.org/10.21105/joss.00774</unstructured_citation> | ||
</citation> | ||
<citation key="tidytextjoss"> | ||
<article_title>tidytext: Text Mining and Analysis Using Tidy | ||
Data Principles in R</article_title> | ||
<author>Silge</author> | ||
<journal_title>The Journal of Open Source | ||
Software</journal_title> | ||
<issue>3</issue> | ||
<volume>1</volume> | ||
<doi>10.21105/joss.00037</doi> | ||
<cYear>2016</cYear> | ||
<unstructured_citation>Silge, J., & Robinson, D. (2016). | ||
tidytext: Text Mining and Analysis Using Tidy Data Principles in R. The | ||
Journal of Open Source Software, 1(3), 37. | ||
https://doi.org/10.21105/joss.00037</unstructured_citation> | ||
</citation> | ||
<citation key="chang2015lda"> | ||
<article_title>lda</article_title> | ||
<author>Chang</author> | ||
<doi>10.32614/CRAN.package.lda</doi> | ||
<cYear>2015</cYear> | ||
<unstructured_citation>Chang, J. (2015). lda. | ||
https://doi.org/10.32614/CRAN.package.lda</unstructured_citation> | ||
</citation> | ||
<citation key="broom"> | ||
<article_title>broom: An R Package for Converting | ||
Statistical Analysis Objects Into Tidy Data Frames</article_title> | ||
<author>Robinson</author> | ||
<journal_title>arXiv</journal_title> | ||
<doi>10.32614/CRAN.package.broom</doi> | ||
<cYear>2014</cYear> | ||
<unstructured_citation>Robinson, D. (2014). broom: An R | ||
Package for Converting Statistical Analysis Objects Into Tidy Data | ||
Frames. arXiv. | ||
https://doi.org/10.32614/CRAN.package.broom</unstructured_citation> | ||
</citation> | ||
<citation key="blei2002lda"> | ||
<article_title>Latent Dirichlet Allocation</article_title> | ||
<author>Blei</author> | ||
<journal_title>Journal of Machine Learning | ||
Research</journal_title> | ||
<volume>3</volume> | ||
<cYear>2003</cYear> | ||
<unstructured_citation>Blei, D. M., Ng, A. Y., & Jordan, | ||
M. I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning | ||
Research, 3.</unstructured_citation> | ||
</citation> | ||
<citation key="jones2023latent"> | ||
<article_title>Latent Dirichlet Allocation for Natural | ||
Language Statistics</article_title> | ||
<author>Jones</author> | ||
<cYear>2023</cYear> | ||
<unstructured_citation>Jones, T. (2023). Latent Dirichlet | ||
Allocation for Natural Language Statistics [PhD thesis]. George Mason | ||
University.</unstructured_citation> | ||
</citation> | ||
<citation key="tidymodelsbook"> | ||
<article_title>Conventions for R Modeling | ||
Packages</article_title> | ||
<author>Khun</author> | ||
<cYear>2019</cYear> | ||
<unstructured_citation>Khun, M. (2019). Conventions for R | ||
Modeling Packages. | ||
https://tidymodels.github.io/model-implementation-principles/index.html</unstructured_citation> | ||
</citation> | ||
<citation key="wickham2014tidy"> | ||
<article_title>Tidy data</article_title> | ||
<author>Wickham</author> | ||
<journal_title>Journal of Statistical | ||
Software</journal_title> | ||
<issue>10</issue> | ||
<volume>59</volume> | ||
<cYear>2014</cYear> | ||
<unstructured_citation>Wickham, H., & others. (2014). | ||
Tidy data. Journal of Statistical Software, 59(10), | ||
1–23.</unstructured_citation> | ||
</citation> | ||
<citation key="tidymodels"> | ||
<article_title>Tidymodels</article_title> | ||
<author>Khun</author> | ||
<doi>10.32614/CRAN.package.tidymodels</doi> | ||
<cYear>2018</cYear> | ||
<unstructured_citation>Khun, M., & Wickham, H. (2018). | ||
Tidymodels. | ||
https://doi.org/10.32614/CRAN.package.tidymodels</unstructured_citation> | ||
</citation> | ||
<citation key="text2vec"> | ||
<article_title>text2vec</article_title> | ||
<author>Selivanov</author> | ||
<doi>10.32614/CRAN.package.text2vec</doi> | ||
<cYear>2020</cYear> | ||
<unstructured_citation>Selivanov, D., Bickel, M., & | ||
Wang, Q. (2020). text2vec. CRAN. | ||
https://doi.org/10.32614/CRAN.package.text2vec</unstructured_citation> | ||
</citation> | ||
<citation key="roberts2013stm"> | ||
<article_title>The Structural Topic Model and Applied Social | ||
Science</article_title> | ||
<author>Roberts</author> | ||
<doi>10.32614/CRAN.package.stm</doi> | ||
<cYear>2013</cYear> | ||
<unstructured_citation>Roberts, M. E., Stewart, B. M., | ||
Tingley, D., & Airoldi, E. M. (2013). The Structural Topic Model and | ||
Applied Social Science. | ||
https://doi.org/10.32614/CRAN.package.stm</unstructured_citation> | ||
</citation> | ||
<citation key="textminer"> | ||
<article_title>textmineR: Functions for Text Mining and | ||
Topic Modeling</article_title> | ||
<author>Jones</author> | ||
<cYear>2015</cYear> | ||
<unstructured_citation>Jones, T. (2015). textmineR: | ||
Functions for Text Mining and Topic Modeling. | ||
https://CRAN.R-project.org/package=textmineR</unstructured_citation> | ||
</citation> | ||
<citation key="topicmodelspackage"> | ||
<article_title>topicmodels: An R Package for Fitting Topic | ||
Models</article_title> | ||
<author>Grün</author> | ||
<journal_title>Journal of Statistical | ||
Software</journal_title> | ||
<issue>13</issue> | ||
<volume>40</volume> | ||
<doi>10.32614/CRAN.package.topicmodel</doi> | ||
<cYear>2011</cYear> | ||
<unstructured_citation>Grün, B., & Hornik, K. (2011). | ||
topicmodels: An R Package for Fitting Topic Models. Journal of | ||
Statistical Software, 40(13). | ||
https://doi.org/10.32614/CRAN.package.topicmodel</unstructured_citation> | ||
</citation> | ||
<citation key="tmjss"> | ||
<article_title>Text Mining Infrastructure in | ||
R</article_title> | ||
<author>Feinerer</author> | ||
<journal_title>Journal of Statistical | ||
Software</journal_title> | ||
<issue>5</issue> | ||
<volume>25</volume> | ||
<doi>10.32614/CRAN.package.tm</doi> | ||
<cYear>2008</cYear> | ||
<unstructured_citation>Feinerer, I., Hornik, K., & | ||
Meyer, D. (2008). Text Mining Infrastructure in R. Journal of | ||
Statistical Software, 25(5). | ||
https://doi.org/10.32614/CRAN.package.tm</unstructured_citation> | ||
</citation> | ||
<citation key="blei2007ctm"> | ||
<article_title>A correlated topic model of | ||
Science</article_title> | ||
<author>Blei</author> | ||
<journal_title>The Annals of Applied | ||
Statistics</journal_title> | ||
<issue>1</issue> | ||
<volume>1</volume> | ||
<doi>10.1214/07-aoas114</doi> | ||
<issn>1932-6157</issn> | ||
<cYear>2007</cYear> | ||
<unstructured_citation>Blei, D. M., & Lafferty, J. D. | ||
(2007). A correlated topic model of Science. The Annals of Applied | ||
Statistics, 1(1), 17–35. | ||
https://doi.org/10.1214/07-aoas114</unstructured_citation> | ||
</citation> | ||
<citation key="chen2015warplda"> | ||
<article_title>WarpLDA: a Cache Efficient O(1) Algorithm for | ||
Latent Dirichlet Allocation</article_title> | ||
<author>Chen</author> | ||
<journal_title>arXiv</journal_title> | ||
<doi>10.14778/2977797.297780</doi> | ||
<cYear>2015</cYear> | ||
<unstructured_citation>Chen, J., Li, K., Zhu, J., & | ||
Chen, W. (2015). WarpLDA: a Cache Efficient O(1) Algorithm for Latent | ||
Dirichlet Allocation. arXiv. | ||
https://doi.org/10.14778/2977797.297780</unstructured_citation> | ||
</citation> | ||
</citation_list> | ||
</journal_article> | ||
</journal> | ||
</body> | ||
</doi_batch> |
Binary file not shown.
Oops, something went wrong.