The leveled approach. Using and evaluating text mining tools AVResearcherXL and Texcavator for historical research on public perceptions of drugs

Autor: van der Molen, Berrie, Buitinck, Lars, Pieters, Toine

We introduce our explorative historical leveled approach that we use to understand drug debates in the Royal Dutch Library's digital newspaper archive. In this approach we alternate between distant reading and close reading. Furthermore, we use this

Externí odkaz: http://arxiv.org/abs/1701.00487

Towards an Open-Source Dutch Speech Recognition System for the Healthcare Domain

Autor: Tejedor-García, Cristian, van der Molen, Berrie, van den Heuvel, Henk, van Hessen, Arjan, Pieters, Toine

The current largest open-source generic automatic speech recognition (ASR) system for Dutch, Kaldi NL, does not include a domain-specific healthcare jargon in the lexicon. Commercial alternatives (e.g., Google ASR system) are also not suitable for th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::e05c6932fdf7ff66c4683879374db694
https://dspace.library.uu.nl/handle/1874/422781

Talking XTC: Drug discourse in post-war Dutch newspaper and radio debates

Autor: van der Molen, Berrie Jens

Digital search and visualisation technologies are combined into one methodological approach for structural public debate analysis of digital print and audiovisual media data archives called the “leveled approach”. This approach is conceptualised,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::de97b4f83a0205b2c77410c92ab548cd
https://dspace.library.uu.nl/handle/1874/415753

DH_BUDAPEST_2018 Abstracts

Autor: Adamik, Béla, Almási, Zsolt, Bárth M., János, Bartus, Dávid, Czajlik, Zoltán, Rupnik, László, Bernád, Ágoston Zénó, Kaiser, Maximilian, Lejtovicz, Katalin, Rumpolt, Peter A., Schlögl, Matthias, Csurgó, Bernadett, Gárdos, Judit, Kerényi, Szabina, Kovács, Éva, Micsik, Andras, Daugavietis, Janis, Kristsone, Eva Eglaja, Debnár, Marek, Dietz, Laura, Warwick, Claire, Rayner, Samantha, Dömölki, Bálint, Egan, Patrick, Fabos, Bettina, Waters, Leslie, Poznan, Kristina, Fantone, Federica, Manguinhas, Hugo, Charles, Valentine, Isaac, Antoine, Ferger, Anne, Jettka, Daniel, Lehmberg, Timm, Golden, Daniel L., Hrcková, Andrea, Illiev, Dimitar, Dobrev, Dobromir, Boykov, Grigor, Ilyefalvi, Emese, Kiss, Tamás, Koltay, Tibor, König, Alexander, Lyding, Verena, Gorgaini, Elisa, Labov, Jessie, Mudrak, Anton, Isaac, Davor, Vitok, Darko, McDonald, Daniel, Wandl-Vogt, Eveline, Vafaie, Mahsa, Van der Molen, Berrie, Muka, Majlinda, Xheraj-Subashi, Dorina, Noevesky, Anna, Von Vlahovits, Frederic, Palfinger, Thomas, Schatek, Alexander, Dorn, Amelie, Pentazou, Ioulia, Laliotou, Ioanna, Péter, Róbert, Smeets, Roel, Weenink, Maartje, Sousa, Filomena, Szemes, Botond, Tamási, Miklós, Török, András, Timar, Bogata, Asztalos, Erika, Szabó, Ditta, Gulyás, Nikolett F., Tsai, Yun-Cheng, Yu, Pu, Wu, Chia-Ching, Huang, Ji-Yu, Vannini, Lucia, Vargha, Fruzsina S., Vasari, Melinda, Vertan, Cristina, Wagner, Sara

Eötvös Loránd University 

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09a6dd841ab01d34432eb1084ab31482