Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation

Mingmin Jin; Xin Luo; Huiling Zhu; Hankz Hankui Zhuo

doi:10.18653/v1/n18-1145

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JOURNAL ARTICLE

Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation

Mingmin Jin Xin Luo Huiling Zhu Hankz Hankui Zhuo

Year: 2018

DOI: 10.18653/v1/n18-1145

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Abstract

Mingmin Jin, Xin Luo, Huiling Zhu, Hankz Hankui Zhuo. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.

Keywords:

Computer science Context (archaeology) Deep learning Computational linguistics Artificial intelligence Data science Natural language processing Cognitive science History Psychology Archaeology

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Cited By

8.93

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Expert finding and Q&A systems

Physical Sciences → Computer Science → Information Systems

Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation

Abstract

Metrics

Citation History

Topics

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