Almost-Unsupervised Cross-Language Opinion Analysis at NTCIR-7

NLCL

Speaker

Taras Zagibalov

Affilliation

Sussex

Abstract

I will describe the Sussex NLCL System entered in the NTCIR-7 Multilingual Opinion Analysis Task (MOAT). The main focus of this work is on the problem of portability of natural language processing systems across languages. The system was the only one entered for all four of the MOAT languages, Japanese, English, and Simplified and Traditional Chinese. The system uses an almost-unsupervised approach applied to two of the sub-tasks: opinionated sentence detection and topic relevance detection.

[Please note unusual day]