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LaMa: a thematic labelling web application

PythonJavaScriptSubmitted 23 January 2023Published 08 May 2023
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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}}
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LabellingQualitative data analysisThematic analysis

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License

Authors of JOSS papers retain copyright.

This work is licensed under aCreative Commons Attribution 4.0 International License.

Creative Commons License

Journal of Open Source Software is anaffiliate of theOpen Source Initiative.

Journal of Open Source Software is part ofOpen Journals, which is aNumFOCUS-sponsored project.

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ISSN 2475-9066


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