LaMa: a thematic labelling web application

Python JavaScript Submitted 23 January 2023Published 08 May 2023
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 = {Bogachenkova, Victoria and Martins, Eduardo Costa and Jansen, Jarl and Olteniceanu, Ana-Maria and Henkemans, Bartjan and Lavin, Chinno and Nguyen, Linh and Bradley, Thea and Fürst, Veerle and Muctadir, Hossain Muhammad and van den Brand, Mark and Cleophas, Loek and Serebrenik, Alexander}, title = {LaMa: a thematic labelling web application}, journal = {Journal of Open Source Software} }
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Labelling Qualitative data analysis Thematic analysis

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ISSN 2475-9066