基于情感词典的藏语文本句子情感分类

该文通过借鉴中文及英文情感分析中基于极性词典的方法来对藏文句子文本进行情感分析。首先我们通过人工的方法构建了一个全面、高效的极性词典,包括基础词词典、否定词词典、双重否定词词典、程度副词词典以及转折词词典,将极性词与修饰词组合成极性短语作为极性计算的基本单元,并研究了转折词对句子情感极性的影响,提出了一种基于极性词典的藏语文本句子情感分析方法。实验结果表明,利用该文构建的词典进行的倾向性分析效果良好。

Tibetan Sentence Sentiment Classification Based on Emotion Dictionary

In parallel to the emotion dictionary based text sentiment analysis of Chinese and English, we build a comprehensive and efficient polar dictionary manually, including Basic Dictionary, Privative Dictionary, Degree dictionary and Turning Dictionary. Then, we detect the polarity phrase consistituted by polarity words and qualifiers, and investigate the influence on sentence emotion polarity by adversatives. The proposed Tibetan text Sentiment analysis method based on polar dictionary is finally validated in the experiments with a good result.