Ao Feng1, Zhengjie Gao1, *, Xinyu Song1, Ke Ke2, Tianhao Xu1, Xuelei Zhang1
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 909-923, 2020, DOI:10.32604/cmc.2020.09913
Abstract Existing solutions do not work well when multi-targets coexist in a sentence.
The reason is that the existing solution is usually to separate multiple targets and process
them separately. If the original sentence has N target, the original sentence will be
repeated for N times, and only one target will be processed each time. To some extent,
this approach degenerates the fine-grained sentiment classification task into the sentencelevel sentiment classification task, and the research method of processing the target
separately ignores the internal relation and interaction between the targets. Based on the
above considerations, we proposes to use Graph Convolutional… More >
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