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- W173735552 abstract "This paper introduces our NEUOM system which participates in the opinionated sentence detection task, one of evaluation tasks in Multilingual Opinion Analysis Task (MOAT) of NTCIR-7. NEUOM system adopts a sentiment lexicon-based(SLB) approach to identifying opinionated sentences in a Chinese text and English text. For English task, a machine learning algorithm, naive Bayesian classification model, is also tried with the use of the English training corpora, such as MPQA and NTCIR-6 data set. Experimental results show that in the English task SLB method achieved better F1 performance than Naive Bayesian model." @default.
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- W173735552 date "2008-01-01" @default.
- W173735552 modified "2023-09-24" @default.
- W173735552 title "NEUOM: Identifying Opinionated Sentences in Chinese and English Text" @default.
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