LaMa: a thematic labelling web application

Python JavaScript Submitted 23 January 2023Published 08 May 2023

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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)


Bogachenkova et al., (2023). LaMa: a thematic labelling web application. Journal of Open Source Software, 8(85), 5135,

@article{Bogachenkova2023, doi = {10.21105/joss.05135}, url = {}, 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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Labelling Qualitative data analysis Thematic analysis

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