[en] This paper introduces the personalization framework PERSEUS in order to investigate the impact of individuality in sentiment categorization by looking into the past. The existence of diversity between individuals and certain consistency in each individual is the cornerstone of the framework. We focus on relations between documents for user-sensitive predictions. Individual’s lexical choices act as indicators for individuality, thus we use a concept-based system which utilizes neural networks to embed concepts and associated topics in text. Furthermore, a recurrent neural network is used to memorize the history of user’s opinions, to discover user-topic dependence, and to detect implicit relations between users. PERSEUS also offers a solution for data sparsity. At the first stage, we show the benefit of inquiring a user-specified system. Improvements in performance experimented on a combined Twitter dataset are shown over generalized models. PERSEUS can be used in addition to such generalized systems to enhance the understanding of user’s opinions.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
GUO, Siwen ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Höhn, Sviatlana; AI Minds > Vianden, Luxembourg
Xu, Feiyu; Lenovo > Beijing, China
SCHOMMER, Christoph ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
PERSEUS: A Personalization Framework for Sentiment Categorization with Recurrent Neural Network
Date de publication/diffusion :
janvier 2018
Nom de la manifestation :
10th International Conference on Agents and Artificial Intelligence
Lieu de la manifestation :
Funchal, Portugal
Date de la manifestation :
from 16-01-2018 to 18-01-2018
Manifestation à portée :
International
Titre de l'ouvrage principal :
International Conference on Agents and Artificial Intelligence , Funchal 16-18 January 2018
Adams, J. A. et al. (2010). Anytime dynamic programming for coalition structure generation. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1-Volume 1. International Foundation for Autonomous Agents and Multiagent Systems.
Aki, S. G. (1989). The design and analysis of parallel algorithms. Old Tappan, NJ (USA); Prentice Hall Inc., USA.
Arib, S. and Aknine, S. (2013). Preferences and constraints for agent coalition formation. In Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on. IEEE.
Bistaffa, F., Farinelli, A., and Ramchurn, S. D. (2015). Sharing rides with friends: A coalition formation algorithm for ridesharing. In AAAI.
Changder, N., Dutta, A., and Ghose, A. K. (2016). Coalition structure formation using anytime dynamic programming. In International Conference on Principles and Practice of Multi-Agent Systems. Springers.
Cruz, F., Espinosa, A., Moure, J. C., Cerquides, J., Rodriguez-Aguilar, J. A., Svensson, K., and Ramchurn, S. D. (2017). Coalition structure generation problems: optimization and parallelization of the idp algorithm in multicore systems.
Dang, V. D. and Jennings, N. R. (2004). Generating coalition structures with finite bound from the optimal guarantees. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems-Volume 2. IEEE Computer Society.
Glinton, R., Scerri, P., and Sycara, K. (2008). Agent-based sensor coalition formation. In Information Fusion, 2008 11th International Conference on. IEEE.
Kumar, V., Grama, A., Gupta, A., and Karypis, G. (1994). Introduction to parallel computing: design and analysis of algorithms. Benjamin/Cummings Redwood City, London, 2nd edition.
Lehmann, D., Müller, R., and Sandholm, T. (2006). The winner determination problem.
Li, X., Wei, J., Fu, X., Li, T., and Wang, G. (2013). Knowledge-based approach for reservoir system optimization.
Li, X., Wei, J., Li, T., Wang, G., and Yeh, W. W.-G. (2014). A parallel dynamic programming algorithm for multi-reservoir system optimization.
Michalak, T., Rahwan, T., Elkind, E., Wooldridge, M., and Jennings, N. R. (2016). A hybrid exact algorithm for complete set partitioning.
Rahwan, T. and Jennings, N. R. (2008). An improved dynamic programming algorithm for coalition structure generation. In Proceedings of the 7th international joint conference on Autonomous agents and multia-gent systems-Volume 3. International Foundation for Autonomous Agents and Multiagent Systems.
Rahwan, T., Michalak, T. P., and Jennings, N. R. (2012). A hybrid algorithm for coalition structure generation. In AAAI.
Rahwan, T., Michalak, T. P., Wooldridge, M., and Jennings, N. R. (2015). Coalition structure generation: A surveys.
Rahwan, T., Ramchurn, S. D., Dang, V. D., Giovannucci, A., and Jennings, N. R. (2007). Anytime optimal coalition structure generation. In AAAI, volume 7.
Rahwan, T., Ramchurn, S. D., Jennings, N. R., and Giovannucci, A. (2009). An anytime algorithm for optimal coalition structure generation.
Sandhlom, T. W. and Lesser, V. R. (1997). Coalitions among computationally bounded agents.
Sandholm, T., Larson, K., Andersson, M., Shehory, O., and Tohmé, F. (1999). Coalition structure generation with worst case guarantees.
Shehory, O. and Kraus, S. (1998). Methods for task allocation via agent coalition formation. volume 101, pages 165–200. Elsevier.
Stivala, A., Stuckey, P. J., de la Banda, M. G., Hermenegildo, M., and Wirth, A. (2010). Lock-free parallel dynamic programming.
Svensson, K., Ramchurn, S., Cruz, F., Rodriguez-Aguilar, J.-A., and Cerquides, J. (2013). Solving the coalition structure generation problem on a gpu.
Tan, G., Sun, N., and Gao, G. R. (2007). A parallel dynamic programming algorithm on a multi-core architecture. In Proceedings of the nineteenth annual ACM symposium on Parallel algorithms and architectures. ACM.
Tsvetovat, M. and Sycara, K. (2000). Customer coalitions in the electronic marketplace. In Proceedings of the fourth international conference on Autonomous agents. ACM.
Yeh, D. Y. (1986). A dynamic programming approach to the complete set partitioning problem.
