An Improved LDA Topic Model
Hongguan Jiao · Journal of Beijing Jiaotong University · 2010
The distribution of words in the document satisfy power rules,which cause the topics incline the high frequency words,and then many words which can represent topics are submerged.It leads to reduce the expression capability of LDA topics.An improved LDA topic model is showed by weighting the feature words using Gauss function.The experiments indicate that the weighting topic model is better generalization performance by validating the correlations among the topics and the perplexity value of model.