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[REVIEW]: textNet: Directed, Multiplex, Multimodal Event Network Extraction from Textual Data #7615

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editorialbot opened this issue Dec 24, 2024 · 10 comments
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R review TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

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editorialbot commented Dec 24, 2024

Submitting author: @ezufall (Elise Zufall)
Repository: https://github.com/ucd-cepb/textNet
Branch with paper.md (empty if default branch):
Version: 1.0.0
Editor: @mikemahoney218
Reviewers: @amatsuo, @stuartyeates, @kbenoit
Archive: Pending

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/0b79101bc77f0a882689e826acb803ac"><img src="https://joss.theoj.org/papers/0b79101bc77f0a882689e826acb803ac/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/0b79101bc77f0a882689e826acb803ac/status.svg)](https://joss.theoj.org/papers/0b79101bc77f0a882689e826acb803ac)

Reviewers and authors:

Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)

Reviewer instructions & questions

@amatsuo & @stuartyeates, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
First of all you need to run this command in a separate comment to create the checklist:

@editorialbot generate my checklist

The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @mikemahoney218 know.

Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest

Checklists

@amatsuo, please create your checklist typing: @editorialbot generate my checklist

@stuartyeates, please create your checklist typing: @editorialbot generate my checklist

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Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

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Software report:

github.com/AlDanial/cloc v 1.98  T=0.33 s (1116.7 files/s, 386704.5 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
XML                            329             28            218          85407
Text                             4              3              0          35139
R                               21            364            684           1503
XSD                              1             50             23            985
Rmd                              2            211            231            452
TeX                              1             22              0            232
Markdown                         3             50              0            191
CSV                              1              0              0            148
DTD                              1             24              0             56
YAML                             1              1              5             24
-------------------------------------------------------------------------------
SUM:                           364            753           1161         124137
-------------------------------------------------------------------------------

Commit count by author:

   154	E.J. Zufall
    19	ezufall
    10	Tyler Scott
     6	tylerandrewscott

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Paper file info:

📄 Wordcount for paper.md is 1212

✅ The paper includes a Statement of need section

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License info:

✅ License found: MIT License (Valid open source OSI approved license)

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1111/psj.12556 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: cbail/textnets
- No DOI given, and none found for title: spaCy: Industrial-strength Natural Language Proces...
- No DOI given, and none found for title: igraph: Network Analysis and Visualization
- No DOI given, and none found for title: spacyr: Wrapper to the ’spaCy’ ’NLP’ Library
- No DOI given, and none found for title: dplyr: A Grammar of Data Manipulation
- No DOI given, and none found for title: data.table: Extension of ’data.frame’
- No DOI given, and none found for title: ClearNLP Dependency Labels
- No DOI given, and none found for title: OntoNotes Release 5.0 with OntoNotes DB Tool v0.99...
- No DOI given, and none found for title: Universal POS Tags

❌ MISSING DOIs

- 10.32614/cran.package.manynet may be a valid DOI for title: manynet: Many Ways to  Make, Modify, Map, Mark, an...
- 10.1038/nrn3354 may be a valid DOI for title: Translating upwards: linking the neural and social...
- 10.4135/9781529775501 may be a valid DOI for title: InfraNodus
- 10.32614/cran.package.devtools may be a valid DOI for title: devtools: Tools to Make Developing R Packages Easi...
- 10.32614/cran.package.network may be a valid DOI for title: network: Classes for Relational Data
- 10.32614/cran.package.pdftools may be a valid DOI for title: pdftools: Text Extraction, Rendering and Convertin...
- 10.32614/cran.package.tidyr may be a valid DOI for title: tidyr: Tidy Messy Data
- 10.32614/cran.package.pbapply may be a valid DOI for title: pbapply: Adding Progress Bar to ’*apply’ Functions
- 10.32614/cran.package.ggraph may be a valid DOI for title: ggraph: An Implementation of Grammar of Graphics f...
- 10.32614/cran.package.sna may be a valid DOI for title: sna: Tools for Social Network Analysis
- 10.1093/oxfordhb/9780199842193.013.15 may be a valid DOI for title: VerbNet

❌ INVALID DOIs

- https://doi.org/10.35111/gq1x-j780 is INVALID because of 'https://doi.org/' prefix

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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👋🏼 @ezufall, @amatsuo, @stuartyeates: this is the review thread for the paper. Just about all of our communications will happen here from now on 😄

As a reviewer, the first step is to create a checklist for your review by entering

@editorialbot generate my checklist

as the top of a new comment in this thread.

These checklists contain the JOSS requirements. As you go over the submission, please check any items that you feel have been satisfied. The first comment in this thread also contains links to the JOSS reviewer guidelines.

The JOSS review is different from most other journals. Our goal is to work with the authors to help them meet our criteria instead of merely passing judgment on the submission. As such, the reviewers are encouraged to submit issues and pull requests on the software repository. When doing so, please mention openjournals/joss-reviews#7615 so that a link is created to this thread (and I can keep an eye on what is happening). Please also feel free to comment and ask questions on this thread. In my experience, it is better to post comments/questions/suggestions as you come across them instead of waiting until you've reviewed the entire package.

We aim for reviews to be completed within about 4 weeks, though obviously with the holidays we're expecting a slightly longer timeframe. Please let me know if you require some more time!

Please feel free to ping me (@mikemahoney218) if you have any questions/concerns.

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And happy holidays and happy new year to everyone -- figured I'd start the review now that we've got two reviewers, but of course there's no expectation you'll be volunteering to review for us on a holiday!

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@editorialbot add @kbenoit as reviewer

Hi all -- @kbenoit has graciously agreed to be our third reviewer! While we can accept a submission on the basis of two reviews, I always prefer to have a third. So, thanks again @kbenoit , and there's a few more instructions over at
#7615 (comment)

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@kbenoit added to the reviewers list!

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