[PRE REVIEW]: FreeStylo: An easy-to-use stylistic device detection tool for stylometry

[editorialbot]

Submitting author: @fschncvg (Felix Schneider)
Repository: https://github.com/cvjena/freestylo
Branch with paper.md (empty if default branch):
Version: v0.5.0
Editor: @logological
Reviewers: @sara-02, @rlskoeser
Managing EiC: Chris Vernon

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.04 s (1475.5 files/s, 194763.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
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HTML                            22            188              0           3584
Python                          19            382            814           1042
JSON                             4              0              0            349
Markdown                         2             54              0            227
YAML                             1             12              3            112
TeX                              1              9              0             73
Bourne Shell                     2              2              0              7
TOML                             1              1              0              5
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SUM:                            52            648            817           5399
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Commit count by author:

    41	schneider
     4	Felix Schneider

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1853

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: GNU General Public License v3.0 (Check here for OSI approval)

[editorialbot]

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

✅ OK DOIs

- 10.18653/v1/2021.latechclfl-1.11 is OK
- 10.14746/amup.9788323241775 is OK
- 10.5281/zenodo.1212303 is OK
- 10.18653/v1/2021.acl-demo.3 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Metaphor Detection for Low Resource Languages: Fro...
- No DOI given, and none found for title: Twenty-first century Corpus Workbench: Updating a ...
- No DOI given, and none found for title: Empirical research on association measures: The UC...
- No DOI given, and none found for title: NLTK: The Natural Language Toolkit

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[editorialbot]

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

[editorialbot]

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[crvernon]

👋 @fschncvg - You mention the following previous publications:
Chiasmus Detection: https://aclanthology.org/2021.latechclfl-1.11/
Metaphor Detection: https://aclanthology.org/2022.mwe-1.11/
Additional Detectors so far in this software package: Polysyndeton - Epiphora - Alliterative verse A tool for people in stylometry, literary scholars, computational linguists/NLP researchers.

Please clearly state how / if the current submission is different from the above. Thanks.

[fschncvg]

The previous publications are the base forms of the chiasmus and metaphor detector. While both have code to replicate the experiments and could with some work probably used by someone proficient in programming to also detect those stylistic devices in other texts, this software provides a new implementation of the concept that can be either used as a python library in other programs or be used directly by e.g. literary scholars with no programming knowledge. The additional stylistic devices that can be detected (polysyndeton, epiphora, alliterative verse) do not rely on machine learning and have not been previously published by me, but since this software provides a growing general stylistic device detector collection, it makes sense to include them, especially since they are interesting for various stylometric analysis tasks.

So the main difference is: Two of the previously published papers provide methods that are implemented in this software package. Additionally this package provides three more methods to find other stylistic devices.
This software package provides a command line interface and a library for the(currently 5) methods to enable their use by both people proficient in python and researchers with linguistic, stylometric and literary expertise without programming knowledge.

About the similarity to those previously published papers the bot linked: My software package detect stylistic devices. Those linked do not.

@dpalsman published a software that analyzes other aspects of text (e.g. discourse markers, emotions...) and could be used together with my software to gain information the other does not address. We both use spaCy for preprocessing, which makes the interoperability easy. However, my package also provides a cltk backend for Middle High German which can be easily be extended for other classical languages supported by cltk.

@PetrKorab published a software that analyzes various parts of time-series structured text (e.g. news artices, social media posts) for various things, but no stylistic devices. However, my software could be integrated into theirs to also support stylistic devices.

@KennethEnvoldsen provides a software that augments text by e.g. standardising spelling and grammar. It does not compute stylometric information like the choice of words - or of stylistic devices. This could maybe be used as a preprocessing step for my software, however it may destroy the stylistic devices that my software searches for.

@lmullen provides an R package for various tokenization tasks, but no stylistic device detection. It could be used as a preprocessing step, but since it is written in R, the interoperability to my python package is limited.

@jboynyc uses network analysis on collections of text to find out which words are used by different authors and how this connects and groups the authors. While it would be interesting to also do network analysis to find out how different authors use stylistic devices and how they are connected and grouped by that, their software does not use or find stylistic devices and provides a different service than mine.

[crvernon]

@editorialbot query scope

Thank you @fschncvg, I am going to run this through scope review with our larger editorial board as well. I'll get back to you ASAP. Thanks!

[editorialbot]

Submission flagged for editorial review.

[crvernon]

@editorialbot invite @logological as editor

👋 @logological - are you available to edit this one? I am going to pull it from scope query.

[editorialbot]

Invitation to edit this submission sent!

[logological]

@crvernon Yes, I'm free to edit this submission starting next week.

[crvernon]

@editorialbot assign @logological as editor

Sounds great @logological! Thank you!

[editorialbot]

Assigned! @logological is now the editor

[sara-02]

@logological I will be happy to help in reviewing this package, I am availbel to help post mid dec.
I checked the package and it seems that it currently does not have a sample example in the Readme or a link to documentation to follow @fschncvg what should be the starting point after one installs the library?

[logological]

@sara-02 Thanks for volunteering to review! I'd be glad to have you on board. I'll try to find one or two further reviewers now.

[logological]

@editorialbot add @sara-02 as reviewer

[editorialbot]

@sara-02 added to the reviewers list!

[logological]

@mikekestemont @SamHames @rlskoeser Would you be willing and able to review this submission on stylistic device detection for the Journal of Open Source Software?

[SamHames]

@logological Unfortunately I have too much on my plate right now to review this.

[logological]

@beinborn @SteffenEger Would you be willing and able to review this submission on stylistic device detection for the Journal of Open Source Software?

[rlskoeser]

@logological I'm willing to take this on and interested in learning more about the software package, but will need a bit more time than usual given the holidays just around the corner. Thanks for inviting me to review.

[logological]

@rlskoeser That's fine; it's great to have you on board. We now have enough reviewers to begin the review process; if a third volunteers, we can add them later. I'll set up a separate issue for the review. @sara-02 and @rlskoeser, you can begin reviewing there right away, or as soon as it's convenient for you.

[logological]

@editorialbot add @rlskoeser as reviewer

[editorialbot]

@rlskoeser added to the reviewers list!

[logological]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #7596.

[SteffenEger]

@logological seems you have reviewers already - apologies, there are too many things these days