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- W2901492021 abstract "Due to the non-standardization of online comments, it is difficult to extract the target - opinion word pairs. This paper proposes a method of extracting the target - opinion word pairs based on part-of-speech rules and semantic dependency parsing (SDP). Firstly, adjectives, status words and some idioms are extracted as original opinion words according to the part-of-speech characteristics of opinion words, and then SDP is performed to obtain the final opinion words. Then, the opinion targets are extracted based on SDP and dependency parsing (DP), and filtered through part-of-speech rules. Finally, the implicit opinion targets are extracted based on probability. The experimental results show that the average F-Measure is 78.86%, which indicates that the extraction performance of this method is good." @default.
- W2901492021 created "2018-11-29" @default.
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- W2901492021 date "2018-09-20" @default.
- W2901492021 modified "2023-10-17" @default.
- W2901492021 title "Extraction of Chinese Opinion target - Opinion word Pairs Based on Part-of-speech Rules and Semantic Dependency Parsing" @default.
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- W2901492021 doi "https://doi.org/10.1145/3278252.3278268" @default.
- W2901492021 hasPublicationYear "2018" @default.
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