Maximilian Mozes
Maximilian Mozes
Verified email at cs.ucl.ac.uk - Homepage
TitleCited byYear
Using named entities for computer‐automated verbal deception detection
B Kleinberg, M Mozes, A Arntz, B Verschuere
Journal of forensic sciences 63 (3), 714-723, 2018
122018
Identifying the sentiment styles of YouTube's vloggers
B Kleinberg, M Mozes, I van der Vegt
arXiv preprint arXiv:1808.09722, 2018
42018
Web-based text anonymization with Node.js: Introducing NETANOS (Named entity-based Text Anonymization for Open Science)
MM Bennett Kleinberg
The Journal of Open Source Software 2 (14), 2017
42017
Uphill from here: Sentiment patterns in videos from left-and right-wing YouTube news channels
F Soldner, JC Ho, M Makhortykh, IWJ van der Vegt, M Mozes, B Kleinberg
Proceedings of the Third Workshop on Natural Language Processing and …, 2019
22019
NETANOS-named entity-based text anonymization for open science
B Kleinberg, M Mozes, Y van der Toolen
OSF Preprints, 2017
22017
Online influence, offline violence: Linguistic responses to the'Unite the Right'rally
I van der Vegt, M Mozes, P Gill, B Kleinberg
arXiv preprint arXiv:1908.11599, 2019
2019
Preprint: What's in a name? Using named entities for verbal deception detection
B Kleinberg, M Mozes, A Arntz, B Verschuere
Open Science Framework, 2017
2017
Preprint: Using named entities for computer-automated verbal deception detection
B Kleinberg, M Mozes, A Arntz
OSF Preprints, 2017
2017
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Articles 1–8