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Multilingual opinion holder and target extraction using knowledge-poor techniques

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posted on 2023-06-08, 11:21 authored by Taras Zagibalov, John Carroll
We describe an approach to multilingual sentiment analysis, in particular opinion holder and opinion target extraction, wich requires no annotated data and minimal language-specific input. The approach is based on un supervised, knowledge-poor techniques wich facilitate adaptation to new languages and domains. The system's result are comparable to those of supervised, languaje-specific systems previously applied to the NTCIR-7 MOAT evaluation data.

History

Publication status

  • Published

Presentation Type

  • paper

Event name

Proceedings of the 4th Language and Technology Conference (LTC)

Event location

Poznan, Poland.

Event type

conference

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-04-24

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