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本文通过借鉴中文微博情感分析中较为常用的基于统计的方法和基于词典的方法来对藏文微博进行情感分析,通过实验的方式发现基于藏文词典的藏文微博情感分析的准确率明显高于基于TF-IDF的藏文微博情感分析的准确率。
In this paper, by using the statistical methods and dictionary-based methods commonly used in Chinese micro-blog sentiment analysis to analyze the emotional content of Tibetan micro-blog, the accuracy of the Tibetan micro-blog sentiment analysis based on the Tibetan dictionary is found experimentally Which is obviously higher than that of the TF-IDF-based Tibetan micro-blog’s emotional analysis.