[PRE REVIEW]: niacin: A Python package for text data enrichment

[whedon]

Submitting author: @deniederhut (Dillon Niederhut) Repository: https://github.com/deniederhut/niacin Version: 0.2.0 Editor: @oliviaguest Reviewers: @BayesforDays, @sara-02 Managing EiC: Kyle Niemeyer

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[whedon]

Reference check summary:

OK DOIs

- None

MISSING DOIs

- https://doi.org/10.18653/v1/d19-1670 may be missing for title: EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
- https://doi.org/10.3390/info11020108 may be missing for title: fastai: A Layered API for Deep Learning
- https://doi.org/10.3115/v1/d14-1162 may be missing for title: GloVe: Global Vectors for Word Representation

INVALID DOIs

- None

[whedon]

:point_right: Check article proof :page_facing_up: :point_left:

[kyleniemeyer]

@whedon invite @oliviaguest as editor

[whedon]

@oliviaguest has been invited to edit this submission.

[kyleniemeyer]

Hi @oliviaguest, can you handle this one?

[oliviaguest]

@kyleniemeyer I can indeed!

@deniederhut can you suggest some reviewers please? 😄

[oliviaguest]

Also @deniederhut is this a library for dealing with linguistic data or data in general? I am skimming and it looks like specifically for corpora of text but I am struggling to see it explicitly stated in the docs https://niacin.readthedocs.io/en/latest/? I might be missing something though, either way, please feel free (if you think it's useful) to link me to the right place so I can read more.

[kyleniemeyer]

@whedon assign @oliviaguest as editor

[whedon]

OK, the editor is @oliviaguest

[deniederhut]

😅 the intention was to also include algorithms for image data and timeseries, but I haven't had a chance to write any of that. Right now it is just text augmentation.

As for reviewers, I might suggest the following:

• rlskoeser
• adammichaelwood
• sara-02
• mbod

[oliviaguest]

😅 the intention was to also include algorithms for image data and timeseries, but I haven't had a chance to write any of that. Right now it is just text augmentation.

Thanks for clarifying @deniederhut. Can you make some edits to make this current state and plan clear, please?

[oliviaguest]

@deniederhut ☝️

[deniederhut]

Hey! I modified the titles of both the paper and the README last week per your request - you can see the changes here.

The body of the paper already stated this focus explicitly:

Here, we introduce niacin, a python library for performing a large set of commonly-used text transformations

Were there further changes you would like to see?

[oliviaguest]

Thank you! No changes for now — this is perfect. 😊

[oliviaguest]

@whedon add @BayesforDays as reviewer

[whedon]

OK, @BayesforDays is now a reviewer

[oliviaguest]

@whedon add @sara-02 as reviewer

[whedon]

OK, @sara-02 is now a reviewer

[oliviaguest]

@whedon start review

[whedon]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/2136.

[oliviaguest]

✨ @deniederhut, @sara-02, and @BayesForDays: Please go to https://github.com/openjournals/joss-reviews/issues/2136 where the review will actually take place! 😊