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    <abstract>We propose a novel Aspect-based Rating Prediction model (AspeRa) that estimates user rating based on review texts for the items. It is based on aspect extraction with neural networks and combines the advantages of deep learning and topic modeling. It is mainly designed for recommendations, but an important secondary goal of AspeRa is to discover coherent aspects of reviews that can be used to explain predictions or for user profiling. We conduct a comprehensive empirical study of AspeRa, showing that it outperforms state-of-the-art models in terms of recommendation quality and produces interpretable aspects. This paper is an abridged version of our work (Nikolenko et al., 2019)</abstract>
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%0 Conference Proceedings
%T AspeRa: Aspect-Based Rating Prediction Based on User Reviews
%A Tutubalina, Elena
%A Malykh, Valentin
%A Nikolenko, Sergey
%A Alekseev, Anton
%A Shenbin, Ilya
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F tutubalina-etal-2019-aspera
%X We propose a novel Aspect-based Rating Prediction model (AspeRa) that estimates user rating based on review texts for the items. It is based on aspect extraction with neural networks and combines the advantages of deep learning and topic modeling. It is mainly designed for recommendations, but an important secondary goal of AspeRa is to discover coherent aspects of reviews that can be used to explain predictions or for user profiling. We conduct a comprehensive empirical study of AspeRa, showing that it outperforms state-of-the-art models in terms of recommendation quality and produces interpretable aspects. This paper is an abridged version of our work (Nikolenko et al., 2019)
%U https://aclanthology.org/W19-3605
%P 11-13

Markdown (Informal)

[AspeRa: Aspect-Based Rating Prediction Based on User Reviews](https://aclanthology.org/W19-3605) (Tutubalina et al., WiNLP 2019)

• AspeRa: Aspect-Based Rating Prediction Based on User Reviews (Tutubalina et al., WiNLP 2019)

ACL

• Elena Tutubalina, Valentin Malykh, Sergey Nikolenko, Anton Alekseev, and Ilya Shenbin. 2019. AspeRa: Aspect-Based Rating Prediction Based on User Reviews. In Proceedings of the 2019 Workshop on Widening NLP, pages 11–13, Florence, Italy. Association for Computational Linguistics.