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

From Cohen Courses
Revision as of 19:19, 28 November 2011 by Mridulg (talk | contribs) (→‎Summary)
Jump to navigationJump to search

Citation

O. Tackstrom and R. McDonald. 2011. Discovering fine-grained sentiment with latent variable structured prediction models. In Proceedings of 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)

Method

Experiments and Results

Datasets

Evaluation Metric

Results

Related Papers