LaMa: a thematic labelling web application

Python JavaScript Submitted 23 January 2023 • Published 08 May 2023
Software repository Paper review Download paper Software archive
Review

Editor: @fboehm (all papers)
Reviewers: @kinow (all reviews), @luxaritas (all reviews)

Authors

Victoria Bogachenkova, Eduardo Costa Martins, Jarl Jansen, Ana-Maria Olteniceanu, Bartjan Henkemans, Chinno Lavin, Linh Nguyen, Thea Bradley, Veerle Fürst, Hossain Muhammad Muctadir (0000-0002-2090-4766), Mark van den Brand (0000-0003-3529-6182), Loek Cleophas (0000-0002-7221-3676), Alexander Serebrenik (0000-0002-1418-0095)

Citation

Bogachenkova et al., (2023). LaMa: a thematic labelling web application. Journal of Open Source Software, 8(85), 5135, https://doi.org/10.21105/joss.05135

@article{Bogachenkova2023, doi = {10.21105/joss.05135}, url = {https://doi.org/10.21105/joss.05135}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {85}, pages = {5135}, author = {Victoria Bogachenkova and Eduardo Costa Martins and Jarl Jansen and Ana-Maria Olteniceanu and Bartjan Henkemans and Chinno Lavin and Linh Nguyen and Thea Bradley and Veerle Fürst and Hossain Muhammad Muctadir and Mark van den Brand and Loek Cleophas and Alexander Serebrenik}, title = {LaMa: a thematic labelling web application}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Labelling Qualitative data analysis Thematic analysis

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066