Hot Topic Word Extraction of Tibetan Network Public Opinion
Sun Yuan, Guo Wen-bin · 2013
This paper proposes a model to automatically extract Tibetan hot words. Through analysis the dynamic Tibetan webs 2012, we use a frequency-position weighing algorithm to compute weight of word. Meanwhile, we integrate with entropy, 3s criterion and variance to extract and track the Tibetan network hot words. Finally, the experimental results prove the model is effective.