Optimization research based on the online comment clustering of short text
2016
On the basis of the existing research of the online comment clustering of short text, an improved text distance optimization method based on the online comment clustering of short text is proposed. The the weight factor is introduced in order to optimize the formula and the golden section method is used to optimize the experimental results in the improved method. The results of simulation experiments show that the improved method is better than the traditional method and the clustering performance has a certain improvement.
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