Tackstrom and McDonald, ECIR 2011. Discovering fine-grained sentiment with latent variable structured prediction models

Citation

O. Tackstrom and R. McDonald. 2011. Discovering fine-grained sentiment with latent variable structured prediction models. In Proceedings of $33^{rd}$ ECIR-2011, pp 764–773, Dublin, Ireland.

Online Version

Discovering fine-grained sentiment with latent variable structured prediction models

Summary

This paper investigates the use of latent variable structured prediction models for fine-grained sentiment analysis in the common situation where only coarse-grained supervision is available. The authors show how sentence level sentiment labels can be effectively learned from document-level supervision using hidden conditional random fields (HCRFs). The authors show improvements over both lexicon and existing machine learning based approaches.