Choi, ACL 2010

Citation

Choi, Y., and C. Cardie. Hierarchical Sequential Learning for Extracting Opinions and their Attributes. ACL-2010

Online version

[1]

Summary

This paper apply a hierarchical parameter sharing technique using Conditional Random Field (CRF) to fine grained opinion analysis. It aim to jointly identify the boundaries of opinion expression as well as to determine two of their key attributes - polarity and intensity.

Brief description of the method

They used following features:

• Prior-polarity & Prior-intensity
• EXP-Polarity, Exp-Intensity & EXP-Span: Expression level attributes
• Per-Token Features
  • Common Per-Token Features
  • Polarity Per-Token Features
  • Intensity Per-Token Features
• Transition Features
  • Polarity Transition Features
  • Intensity Transition Features