{"urn":"urn:nbn:de:hbz:bi10-31665","doi":"10.57720/3166","author":[{"last_name":"Zhurakovskaya","full_name":"Zhurakovskaya, Oxana","first_name":"Oxana"},{"first_name":"Louis","full_name":"Steinkamp, Louis","last_name":"Steinkamp"},{"last_name":"Tymann","full_name":"Tymann, Karsten Michael","first_name":"Karsten Michael"},{"id":"212649","orcid":"0000-0002-4230-9060","first_name":"Carsten","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4230-9060/work/160362099","last_name":"Gips","full_name":"Gips, Carsten"}],"oa":"1","language":[{"iso":"eng"}],"department":[{"_id":"102"}],"date_updated":"2024-05-27T11:44:11Z","conference":{"location":"Online","name":"LWDA 2020","end_date":"2020-09-11","start_date":"2020-09-09"},"type":"conference","main_file_link":[{"url":"https://ceur-ws.org/Vol-2738/LWDA2020_paper_10.pdf"}],"tmp":{"image":"/images/cc_by_sa.png","name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","short":"CC BY-SA (4.0)"},"year":"2020","has_accepted_license":"1","file_date_updated":"2023-06-01T17:20:49Z","file":[{"date_created":"2023-06-01T17:20:49Z","date_updated":"2023-06-01T17:20:49Z","success":1,"creator":"cgips","file_size":661309,"file_name":"LWDA2020_paper_10.pdf","access_level":"open_access","file_id":"3193","relation":"main_file","content_type":"application/pdf"}],"status":"public","_id":"3166","citation":{"alphadin":"<span style=\"font-variant:small-caps;\">Zhurakovskaya, Oxana</span> ; <span style=\"font-variant:small-caps;\">Steinkamp, Louis</span> ; <span style=\"font-variant:small-caps;\">Tymann, Karsten Michael</span> ; <span style=\"font-variant:small-caps;\">Gips, Carsten</span>: EmoDex - An emotion detection tool composed of established techniques. In: <i>Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB</i>, 2020","short":"O. Zhurakovskaya, L. Steinkamp, K.M. Tymann, C. Gips, in: Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB, 2020.","ieee":"O. Zhurakovskaya, L. Steinkamp, K. M. Tymann, and C. Gips, “EmoDex - An emotion detection tool composed of established techniques,” in <i>Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB</i>, Online, 2020.","chicago":"Zhurakovskaya, Oxana, Louis Steinkamp, Karsten Michael Tymann, and Carsten Gips. “EmoDex - An Emotion Detection Tool Composed of Established Techniques.” In <i>Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB</i>, 2020. <a href=\"https://doi.org/10.57720/3166\">https://doi.org/10.57720/3166</a>.","apa":"Zhurakovskaya, O., Steinkamp, L., Tymann, K. M., &#38; Gips, C. (2020). EmoDex - An emotion detection tool composed of established techniques. In <i>Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB</i>. Online. <a href=\"https://doi.org/10.57720/3166\">https://doi.org/10.57720/3166</a>","ama":"Zhurakovskaya O, Steinkamp L, Tymann KM, Gips C. EmoDex - An emotion detection tool composed of established techniques. In: <i>Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB</i>. ; 2020. doi:<a href=\"https://doi.org/10.57720/3166\">10.57720/3166</a>","mla":"Zhurakovskaya, Oxana, et al. “EmoDex - An Emotion Detection Tool Composed of Established Techniques.” <i>Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB</i>, 2020, doi:<a href=\"https://doi.org/10.57720/3166\">10.57720/3166</a>.","bibtex":"@inproceedings{Zhurakovskaya_Steinkamp_Tymann_Gips_2020, title={EmoDex - An emotion detection tool composed of established techniques}, DOI={<a href=\"https://doi.org/10.57720/3166\">10.57720/3166</a>}, booktitle={Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB}, author={Zhurakovskaya, Oxana and Steinkamp, Louis and Tymann, Karsten Michael and Gips, Carsten}, year={2020} }"},"user_id":"243110","date_created":"2023-06-01T16:17:46Z","title":"EmoDex - An emotion detection tool composed of established techniques","publication":"Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB"}