领域情感词典是情感分析最重要的基础。由于产品评论的数量巨大、领域众多,如何自动构建领域情感词典已经成为近年来的一个研究热点。该文提出了一个两阶段的领域情感词典构建算法。第一阶段,利用情感词间的点互信息和上下文约束,使用基于约束的标签传播算法构造基本情感词典;第二阶段,根据情感冲突的频率来识别领域相关情感词,并根据其上下文约束以及修饰的特征完善领域情感词典。实验结果表明,该方法在实际产品评论数据集上取得了较好的效果。
Abstract
Domain-specific sentiment lexicon plays an important role in sentiment analysis system. Due to the huge number of the product review in diverse domains , automatic construction of domain-specific sentiment lexicon is a challenging task. This paper proposes a two-phrase automatic construction algorithm of domain-specific sentiment lexicon. In the first phrase, the constrained label propagation algorithm is applied to the construction of base sentiment lexicon by using PMI and contextual constraints. In the second phrase, the domain-specific sentiment words are exacted by the frequency of sentiment conflict, and the domain-specific sentiment lexicon is improved according to the contextual constraints and the product feature modified by the sentiment word. Experiments on diverse real-life datasets show promising results.
关键词
情感分析 /
领域情感词典 /
上下文约束 /
基于约束的标签传播算法
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Key words
sentiment analysis /
domain-specific sentiment lexicon /
contextual constraints /
constrained label propagation algorithm
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参考文献
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脚注
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基金
国家自然科学基金(61170039)
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