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- W2377492718 abstract "The collocations with strong sentiment orientation are important for the text sentiment analysis.In this paper,a method of collocation orientation identification based on hybrid language information is proposed.Firstly,according to the characteristics of six kinds of collocation patterns,the probability latent semantic models are determined for them.Then the obtained semantic models were used to identify the sentiment orientations of collocations.Lastly,for some collocations containing a sentiment word,their previous tags were modified by using some constructed rules.The experiment result in the corpus of car reviews indicates that the proposed method is superior to the method based only on probability latent semantic model or rule for collocation orientation identification." @default.
- W2377492718 created "2016-06-24" @default.
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- W2377492718 date "2010-01-01" @default.
- W2377492718 modified "2023-09-23" @default.
- W2377492718 title "A Method of Collocation Orientation Identification Based on Hybrid Language Information" @default.
- W2377492718 hasPublicationYear "2010" @default.
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