Search Results - "Hagerer, Gerhard"

Predicting Individual Well-Being in Teamwork Contexts Based on Speech Features by Zeulner, Tobias, Hagerer, Gerhard Johann, Müller, Moritz, Vazquez, Ignacio, Gloor, Peter A.

“…Current methods for assessing individual well-being in team collaboration at the workplace often rely on manually collected surveys. This limits continuous…”
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The news media and its audience: Agenda setting on organic food in the United States and Germany by Danner, Hannah, Hagerer, Gerhard, Pan, Yan, Groh, Georg

“…What are the agenda-setting effects between the news media and its audience regarding organic food? This longitudinal text-mining study investigates the…”
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An Analysis of Programming Course Evaluations Before and After the Introduction of an Autograder by Hagerer, Gerhard Johann, Lahesoo, Laura, Anschütz, Miriam, Krusche, Stephan, Groh, Georg

“…ITHET-2021 Commonly, introductory programming courses in higher education institutions have hundreds of participating students eager to learn to program. The…”
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A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining by Hagerer, Gerhard Johann, Leung, Wing Sheung, Liu, Qiaoxi, Danner, Hannah, Groh, Georg

“…Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR 2021 User-generated…”
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Automatic multi-lingual arousal detection from voice applied to real product testing applications by Eyben, Florian, Unfried, Matthias, Hagerer, Gerhard, Schuller, Bjorn

“…A method is presented which applies Long Short-Term Memory Recurrent Neural Networks on real market-research voice recordings in order to automatically predict…”
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An Analysis of Programming Course Evaluations Before and After the Introduction of an Autograder by Hagerer, Gerhard, Lahesoo, Laura, Anschutz, Miriam, Krusche, Stephan, Groh, Georg

“…Commonly, introductory programming courses in higher education institutions have hundreds of participating students eager to learn to program. The manual…”
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Classification of Consumer Belief Statements From Social Media by Hagerer, Gerhard Johann, Le, Wenbin, Danner, Hannah, Groh, Georg

“…Social media offer plenty of information to perform market research in order to meet the requirements of customers. One way how this research is conducted is…”
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GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts by Thies, Jason, Stappen, Lukas, Hagerer, Gerhard, Schuller, Bjorn W., Groh, Georg

“…To unfold the tremendous amount of multimedia data uploaded daily to social media platforms, effective topic modeling techniques are needed. Existing work…”
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GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts by Stappen, Lukas, Thies, Jason, Hagerer, Gerhard, Schuller, Björn W, Groh, Georg

“…To unfold the tremendous amount of multimedia data uploaded daily to social media platforms, effective topic modeling techniques are needed. Existing work…”
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End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis by Hagerer, Gerhard Johann, Szabo, David, Koch, Andreas, Dominguez, Maria Luisa Ripoll, Widmer, Christian, Wich, Maximilian, Danner, Hannah, Groh, Georg

“…Proceedings of the 3rd International Conference on Natural Language and Speech Processing - ICNLSP 2021 Sentiment analysis is often a crowdsourcing task prone…”
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SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining by Hagerer, Gerhard Johann, Kirchhoff, Martin, Danner, Hannah, Pesch, Robert, Ghosh, Mainak, Roy, Archishman, Zhao, Jiaxi, Groh, Georg

“…RANLP-2021 Recent research in opinion mining proposed word embedding-based topic modeling methods that provide superior coherence compared to traditional topic…”
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VoicePlay - An affective sports game operated by speech emotion recognition based on the component process model by Hagerer, Gerhard, Eyben, Florian, Schuller, Dagmar, Scherer, Klaus R., Schuller, Bjorn

“…In the present work we outline the first computer game which is operated by real-time emotion recognition from speech. Urgency is detected from the voice of a…”
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