Corpus ID: 4096986

Contextual and Position-Aware Factorization Machines for Sentiment Classification

@article{Wang2018ContextualAP,
  title={Contextual and Position-Aware Factorization Machines for Sentiment Classification},
  author={Shuai Wang and Mianwei Zhou and Geli Fei and Yi Chang and B. Liu},
  journal={ArXiv},
  year={2018},
  volume={abs/1801.06172}
}
  • Shuai Wang, Mianwei Zhou, +2 authors B. Liu
  • Published 2018
  • Computer Science
  • ArXiv
  • While existing machine learning models have achieved great success for sentiment classification, they typically do not explicitly capture sentiment-oriented word interaction, which can lead to poor results for fine-grained analysis at the snippet level (a phrase or sentence). Factorization Machine provides a possible approach to learning element-wise interaction for recommender systems, but they are not directly applicable to our task due to the inability to model contexts and word sequences… CONTINUE READING
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