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GUO Siwen

Main Referenced Co-authors
SCHOMMER, Christoph  (8)
HOEHN, Sviatlana  (4)
Höhn, Sviatlana (2)
Xu, Feiyu (2)
Ahmedi, Lule (1)
Main Referenced Keywords
Sentiment Analysis (7); Personalized Model (3); Personalized Modelling (2); Recurrent Neural Networks (2); Artificial Companion (1);
Main Referenced Disciplines
Computer science (10)

Publications (total 10)

The most downloaded
347 downloads
Guo, S. (2019). Deep Neural Networks for Personalized Sentiment Analysis with Information Decay [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/41205 https://hdl.handle.net/10993/41205

The most cited

10 citations (OpenCitations)

Sayers, D., Sousa-Silva, R., Höhn, S., Ahmedi, L., Allkivi-Metsoja, K., ANASTASIOU, D., Beňuš, Š., Bowker, L., Bytyçi, E., Catala, A., Çepani, A., Chacón-Beltrán, R., Dadi, S., Dalipi, F., DESPOTOVIC, V., Doczekalska, A., Drude, S., Fort, K., Fuchs, R., ... Yildirim Yayilgan, S. (2021). The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies. doi:10.17011/jyx/reports/20210518/1 https://hdl.handle.net/10993/60239

Sayers, D., Sousa-Silva, R., Höhn, S., Ahmedi, L., Allkivi-Metsoja, K., ANASTASIOU, D., Beňuš, Š., Bowker, L., Bytyçi, E., Catala, A., Çepani, A., Chacón-Beltrán, R., Dadi, S., Dalipi, F., DESPOTOVIC, V., Doczekalska, A., Drude, S., Fort, K., Fuchs, R., ... Yildirim Yayilgan, S. (2021). The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies. doi:10.17011/jyx/reports/20210518/1

Guo, S. (2019). Deep Neural Networks for Personalized Sentiment Analysis with Information Decay [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/41205

Guo, S., Höhn, S., & Schommer, C. (2019). A Personalized Sentiment Model with Textual and Contextual Information. In The SIGNLL Conference on Computational Natural Language Learning, Hong Kong 3-4 November 2019.
Peer reviewed

Guo, S., Höhn, S., & Schommer, C. (2019). Looking into the Past: Evaluating the Effect of Time Gaps in a Personalized Sentiment Model. In ACM/SIGAPP Symposium On Applied Computing, Limassol 8-12 April 2019.
Peer reviewed

Guo, S., Höhn, S., & Schommer, C. (2019). Topic-based Historical Information Selection for Personalized Sentiment Analysis. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges 24-26 April 2019.
Peer reviewed

Guo, S., Höhn, S., Xu, F., & Schommer, C. (2019). Personalized Sentiment Analysis and a Framework with Attention-Based Hawkes Process Model. In Agents and Artificial Intelligence. Springer. doi:10.1007/978-3-030-05453-3_10
Peer reviewed

Zheng, Y., Guo, S., & Schommer, C. (2018). An Approach to Incorporate Emotions in a Chatbot with Seq2Seq Model. In Benelux Conference on Artificial Intelligence, ‘s-Hertogenbosch 8-9 November 2018.
Peer reviewed

Guo, S., & Schommer, C. (10 September 2018). A Bilingual Study for Personalized Sentiment Model PERSEUS [Paper presentation]. PhD Forum at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Dublin, Ireland.

Guo, S., Höhn, S., Xu, F., & Schommer, C. (2018). PERSEUS: A Personalization Framework for Sentiment Categorization with Recurrent Neural Network. In International Conference on Agents and Artificial Intelligence , Funchal 16-18 January 2018 (pp. 9).
Peer reviewed

Guo, S., & Schommer, C. (2017). Embedding of the Personalized Sentiment Engine PERSEUS in an Artificial Companion. In International Conference on Companion Technology, Ulm 11-13 September 2017. IEEE.
Peer reviewed

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