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

نویسندگان

  • Taras Zagibalov
  • John Carroll
چکیده

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

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تاریخ انتشار 2008