%0 Conference Paper %1 conf/misdoom/RochertNS20 %A Röchert, Daniel %A Neubaum, German %A Stieglitz, Stefan %B MISDOOM %D 2020 %E van Duijn, Max J. %E Preuss, Mike %E Spaiser, Viktoria %E Takes, Frank W. %E Verberne, Suzan %I Springer %K dblp %P 107-121 %T Identifying Political Sentiments on YouTube: A Systematic Comparison Regarding the Accuracy of Recurrent Neural Network and Machine Learning Models. %U http://dblp.uni-trier.de/db/conf/misdoom/misdoom2020.html#RochertNS20 %V 12259 %@ 978-3-030-61841-4

@inproceedings{conf/misdoom/RochertNS20, added-at = {2021-05-14T00:00:00.000+0200}, author = {Röchert, Daniel and Neubaum, German and Stieglitz, Stefan}, biburl = {https://www.bibsonomy.org/bibtex/29ce0e482ce79c06de90c27c663e81799/dblp}, booktitle = {MISDOOM}, crossref = {conf/misdoom/2020}, editor = {van Duijn, Max J. and Preuss, Mike and Spaiser, Viktoria and Takes, Frank W. and Verberne, Suzan}, ee = {https://doi.org/10.1007/978-3-030-61841-4_8}, interhash = {0ec7952ed626080355b4e95d9ac3c7be}, intrahash = {9ce0e482ce79c06de90c27c663e81799}, isbn = {978-3-030-61841-4}, keywords = {dblp}, pages = {107-121}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T21:44:24.000+0200}, title = {Identifying Political Sentiments on YouTube: A Systematic Comparison Regarding the Accuracy of Recurrent Neural Network and Machine Learning Models.}, url = {http://dblp.uni-trier.de/db/conf/misdoom/misdoom2020.html#RochertNS20}, volume = 12259, year = 2020 }