Abstract
Though the study of opinion target extraction of movie review, this paper proposed a method for opinion target extraction of movie review based on deep learning, and analyzed its emotional polarity. Finally, the experimental results were displayed in a visual manner to help users judge the details of the movie content. In this paper, by establishing a bidirectional short-term and short-term memory network model, the opinion target extraction task is translated into a sequence labeling task, which improved the accuracy of opinion object extraction. This paper crawled and organized the Chinese movie review corpus from the Internet and the experimental results proved the effectiveness of the proposed method.
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