Jonathan Herzig  Jonathan Herzig photo         

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Research Staff Member - Information Retrieval
Haifa Research Lab, Haifa, Israel



Emotion Detection from Text via Ensemble Classification Using Word Embeddings
Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki
The 3rd ACM International Conference on the Theory of Information Retrieval, 2017

Neural Response Generation for Customer Service based on Personality Traits
Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki
Proceedings of The 10th International Natural Language Generation conference, 2017

EHCTool: Managing Emotional Hotspots for Conversational Agents
Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Rottem Shaul
Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion, pp. 125--128, 2017

Neural semantic parsing over multiple knowledge-bases
Jonathan Herzig, Jonathan Berant
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017


Classifying Emotions in Customer Support Dialogues in Social Media
Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, David Spivak
Proceedings of the SIGDIAL 2016 Conference, The 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 13-15 September 2016, Los Angeles, CA, USA, pp. 64--73

Predicting customer satisfaction in customer support conversations in social media using affective features
Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, pp. 115--119

I Understand Your Frustration
Guy Feigenblat, David Konopnicki, Michal Shmueli-Scheuer, Jonathan Herzig, Hen Shkedi
Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2015, San Francisco, CA, USA, February 27 - March 2, 2016, Companion Volume, pp. 25--28


Monitoring cardiac stress using features extracted from S1 heart sounds
Herzig, J., Bickel, A., Eitan, A., & Intrator, N.
IEEE Transactions on Biomedical Engineering, 2015


An author-reader influence model for detecting topic-based influencers in social media
Herzig, J., Mass, Y., & Roitman, H.
Proceedings of the 25th ACM conference on Hypertext and social media, 2014

Mindful: A Platform for Large-Scale Affective Field Research
Feigenblat, G., Herzig, J., Shmueli-Scheuer, M., & Konopnicki
Proceedings of the 2nd ACM International Workshop on Immersive Media Experiences, 2014


A statistical approach to mining customers' conversational data from social media
Konopnicki, D., Shmueli-Scheuer, M., Cohen, D., Sznajder, B., Herzig, J., Raviv, A., & Mass, Y.
IBM Journal of Research and Development, 2013

Eventsense: Capturing the pulse of large-scale events by mining social media streams
Schinas, E., Papadopoulos, S., Diplaris, S., Kompatsiaris, Y., Mass, Y., Herzig, J., & Boudakidis, L.
In Proceedings of the 17th Panhellenic Conference on Informatics, 2013