计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 158-164.doi: 10.11896/jsjkx.210200089
史伟1, 付月2
SHI Wei1, FU Yue2
摘要: 传统基于词典的情感分析方法中情感词语的极性和强度是固定和静态的,没有考虑情感词语随不同语义环境极性和强度的变化。为此,提出一种考虑语境的基于情感本体和情感圈的微博短文本情感分析方法。采用情感圈方法考虑不同语境中词语的共现模式,以捕获它们的语义并更新情感词语的极性和强度。结合已构建的情感本体和语义量化规则,建立考虑语义环境的微博短文本挖掘方法。实验结果表明,该方法从实体级和微博级两个层面,在精度、召回率、F值和准确率几个指标上都明显优于基线方法。
中图分类号:
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