Sep 16, 2016 · In this paper, BTM topic model is employed to process short texts–micro-blog data for alleviating the problem of sparsity. At the same time, we ...

Oct 22, 2024 · In this paper, BTM topic model is employed to process short texts–micro-blog data for alleviating the problem of sparsity. At the same time, we ...

BTM topic model is employed to process short texts–micro-blog data for alleviating the problem of sparsity, and K-means clustering algorithm is integrated ...

In this paper, BTM topic model is employed to process short texts–micro-blog data for alleviating the problem of sparsity. At the same time, we integrating K- ...

Micro-blog topic detection method based on BTM topic model and K-means clustering algorithm. Authors: Weijiang Li, Yanming Feng, Dongjun Li, Zhengtao Yu.

This paper proposes a popular topic detection method based on microblog images and short text information.

The proposed method splits the clustering process into two parts: one part is to form clusters for the multi-thread parallel clustering, the other part is to ...

Micro-blog topic detection method based on BTM topic model and K-means clustering algorithm. Article 01 July 2016. Research on Hot Topic Discovery Technology ...

So we propose a three -layer hybrid clustering algorithm to replace the original ones used in the topic detection models which can hardly handle microblog. We ...

A novel micro-blog topic detection algorithm based on topic model was proposed.Firstly,the micro-blog data was expressed as text word matrix and word relation ...