Discovering Product Defects and Solutions from Online User Generated Contents

Author:

Zhang Xuan1,Qiao Zhilei2,Ahuja Aman3,Fan Weiguo4,Fox Edward A.5,Reddy Chandan K.6

Affiliation:

1. Virginia Tech* & Sam?s Club *Blacksburg, Virginia

2. University of Alabama at Birmingham Birmingham, Alabama

3. Virginia Tech Arlington, Virginia

4. University of Iowa Iowa City, Iowa

5. Virginia Tech Blacksburg, Virginia

6. Virginia Tech Arlington, Virginia r

Publisher

ACM Press

Reference25 articles.

1. Alan S Abrahams, Jian Jiao, G Alan Wang, and Weiguo Fan. 2012. Vehicle defect discovery from social media. Decision Support Systems54, 1 (2012), 87-97.

2. Aman Ahuja, Wei Wei, Wei Lu, Kathleen M Carley, and Chandan K Reddy. 2017. A Probabilistic Geographical Aspect-Opinion Model for Geo-tagged Microblogs. In 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 721-726.

3. David M Blei, Andrew Y Ng, and Michael I Jordan. 2003. Latent Dirichlet Allocation. Journal of machine learning research3 (2003), 993-1022.

4. Samuel Brody and Noemie Elhadad. 2010. An unsupervised aspect-sentiment model for online reviews. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 804-812.

5. Danqi Chen and Christopher Manning. 2014. A fast and accurate dependency parser using neural networks. In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP). 740-750.

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