[PRE REVIEW]: Inscriptis - A Python-based HTML to text conversion library optimized for knowledge extraction from the Web

[whedon]

Submitting author: @AlbertWeichselbraun (Albert Weichselbraun)
Repository: https://github.com/weblyzard/inscriptis/
Version: v2.0.0
Editor: @sbenthall
Reviewers: @reality, @rlskoeser
Managing EiC: Kristen Thyng

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Author instructions

Thanks for submitting your paper to JOSS @AlbertWeichselbraun. Currently, there isn't an JOSS editor assigned to your paper.

@AlbertWeichselbraun if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).

Editor instructions

The JOSS submission bot @whedon is here to help you find and assign reviewers and start the main review. To find out what @whedon can do for you type:

@whedon commands

[whedon]

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

⚠️ JOSS reduced service mode ⚠️

Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.

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

@whedon commands

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[whedon]

Software report (experimental):

github.com/AlDanial/cloc v 1.88  T=0.08 s (1606.0 files/s, 111098.3 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
HTML                            44            283             79           2602
Python                          50            828           1010           2035
JSON                            13              2              0            251
TeX                              1             38              0            246
reStructuredText                 5            168            143            240
Markdown                         2             88              0            234
YAML                             3             15             32             76
INI                              1              7              0             55
Bourne Shell                     1              8             11             17
make                             2              4              6             16
Dockerfile                       1              3              2             10
-------------------------------------------------------------------------------
SUM:                           123           1444           1283           5782
-------------------------------------------------------------------------------


Statistical information for the repository '4052ecee83af3d31b1884119' was
gathered on 2021/07/12.
The following historical commit information, by author, was found:

Author                     Commits    Insertions      Deletions    % of changes
Albert Weichselbraun           240         12158           6538           98.13
Fabian Odoni                     1             6              4            0.05
Max Goebel                       1             1              1            0.01
fabian                           2            18              6            0.13
k3njiy                           4           143            151            1.54
max                              2            15             12            0.14

Below are the number of rows from each author that have survived and are still
intact in the current revision:

Author                     Rows      Stability          Age       % in comments
Albert Weichselbraun       3845           31.6          8.6               13.99
Fabian Odoni                  1           16.7         51.3                0.00
fabian                       15           83.3         38.9               26.67
k3njiy                       11            7.7          0.0                9.09
max                           1            6.7         31.5                0.00

[whedon]

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

OK DOIs

- 10.1007/s11042-019-08328-z is OK
- 10.3115/v1/D14-1162 is OK
- 10.1109/JSYST.2015.2466439 is OK
- 10.1016/j.ins.2014.03.096 is OK
- 10.3390/fi13030059 is OK
- 10.1145/3430937 is OK
- 10.1080/14740338.2018.1531847 is OK
- 10.1080/00437956.1954.11659520 is OK

MISSING DOIs

- 10.1109/hicss.2016.133 may be a valid DOI for title: Extracting Opinion Targets from Environmental Web Coverage and Social Media Streams

INVALID DOIs

- None

[whedon]

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

[kthyng]

@sbenthall Would you be able to take this submission on?

[kthyng]

@whedon invite @sbenthall as editor

[whedon]

@sbenthall has been invited to edit this submission.

[AlbertWeichselbraun]

Dear all,

Michael Reiss ([email protected]) who is a research and teaching associate at the University of Zurich's Department of Communication and Media Research (IKMZ) might be a good fit.
(he was the first person to request information on how to cite Inscriptis in his work).

From the JOSS reviewer list, reviewers with good Python skills and an interest in Computational Analytics, Natural Language Processing and/or Social Sciences should be a good choice as well. I have located four additional potential reviewers based on these criteria and their position in the reviewer list (preferring reviewers at the bottom of the list):

• ajoer ([email protected])
• [email protected]
• alexhanna ([email protected])
• mbod ([email protected])

Cheers,
Albert :)

[sbenthall]

@whedon assign me as editor

[whedon]

OK, the editor is @sbenthall

[sbenthall]

@ajoer @alexhanna @mbod would you be able to review this package?

[alexhanna]

Don't quite have the cycles for this now, thanks though.

[sbenthall]

@reality would you be able to review this package?

[sbenthall]

@nmstreethran would you be able to review this package?

[debuos512]

@sbenthall Sorry for the delayed response. Yes, I would be happy to review this package.

[nmstreethran]

@sbenthall Sorry, I am unable to review at the moment.

[sbenthall]

Thank you @reality I'll assign you as a reviewer.

[sbenthall]

@whedon assign @reality as reviewer

[whedon]

OK, @reality is now a reviewer

[sbenthall]

@rlskoeser would you be able to review this package?

[whedon]

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

[rlskoeser]

@sbenthall yes, I'd be glad to review this package.

[sbenthall]

Thank you, @rlskoeser

[sbenthall]

@whedon add @rlskoeser as reviewer

[whedon]

OK, @rlskoeser is now a reviewer

[sbenthall]

@whedon start review

[whedon]

OK, I've started the review over in #3557.