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Authors: Siwen Guo 1 ; Sviatlana Höhn 2 ; Feiyu Xu 3 and Christoph Schommer 1

Affiliations: 1 University of Luxembourg, Luxembourg ; 2 AI Minds, Luxembourg ; 3 Lenovo, China

ISBN: 978-989-758-275-2

Keyword(s): Sentiment Categorization, Opinion Mining, Personalized Memories, Neural Networks.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Methods ; Natural Language Processing ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Theory and Methods

Abstract: 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 gene ralized systems to enhance the understanding of user's opinions. (More)

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Paper citation in several formats:
Guo S., Höhn S., Xu F. and Schommer C. (2018). PERSEUS: A Personalization Framework for Sentiment Categorization with Recurrent Neural Network.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-275-2, pages 94-102. DOI: 10.5220/0006584100940102

@conference{icaart18,
author={Siwen Guo and Sviatlana Höhn and Feiyu Xu and Christoph Schommer},
title={PERSEUS: A Personalization Framework for Sentiment Categorization with Recurrent Neural Network},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2018},
pages={94-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006584100940102},
isbn={978-989-758-275-2},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - PERSEUS: A Personalization Framework for Sentiment Categorization with Recurrent Neural Network
SN - 978-989-758-275-2
AU - Guo S.
AU - Höhn S.
AU - Xu F.
AU - Schommer C.
PY - 2018
SP - 94
EP - 102
DO - 10.5220/0006584100940102

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