Research on Chinese Short Text Clustering Ensemble via Convolutional Neural Networks

2020 ◽  
pp. 622-628
Author(s):  
Haowen Wan ◽  
Bo Ning ◽  
Xiaoyu Tao ◽  
Jianfei Long
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Text Clustering ◽  
Clustering Ensemble ◽  
Short Text ◽  
Short Text Clustering

scholarly journals Self-Taught convolutional neural networks for short text clustering

2017 ◽  
Vol 88 ◽  
pp. 22-31 ◽  
Author(s):  
Jiaming Xu ◽  
Bo Xu ◽  
Peng Wang ◽  
Suncong Zheng ◽  
Guanhua Tian ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Text Clustering ◽  
Short Text ◽  
Short Text Clustering

scholarly journals Short Text Clustering via Convolutional Neural Networks

2015 ◽  
Author(s):  
jiaming xu ◽  
peng wang ◽  
guanhua tian ◽  
bo xu ◽  
jun zhao ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Text Clustering ◽  
Short Text ◽  
Short Text Clustering

Short-Text Clustering using Statistical Semantics

2015 ◽  
Author(s):  
Sepideh Seifzadeh ◽  
Ahmed K. Farahat ◽  
Mohamed S. Kamel ◽  
Fakhri Karray
Keyword(s):  
Text Clustering ◽  
Short Text ◽  
Short Text Clustering

Short Text Clustering Algorithms for Weibo Topic Detection

2014 ◽  
Vol 971-973 ◽  
pp. 1747-1751 ◽  
Author(s):  
Lei Zhang ◽  
Hai Qiang Chen ◽  
Wei Jie Li ◽  
Yan Zhao Liu ◽  
Run Pu Wu
Keyword(s):  
Text Analysis ◽  
Semantic Information ◽  
Clustering Algorithms ◽  
Text Clustering ◽  
Massive Data ◽  
Topic Detection ◽  
Clustering Methods ◽  
Short Text ◽  
Short Text Clustering ◽  
Application Requirements

Text clustering is a popular research topic in the field of text mining, and now there are a lot of text clustering methods catering to different application requirements. Currently, Weibo data acquisition is through the API provided by big microblogging platforms. In this essay, we will discuss the algorithm of extracting popular topics posted by Weibo users by text clustering after massive data collection. Due to the fact that traditional text analysis may not be applicable to short texts used in Weibo, text clustering shall be carried out through combining multiple posts into long texts, based on their features (forwards, comments and followers, etc.). Either frequency-based or density-based short text clustering can deliver in most cases. The former is applicable to find hot topics from large Weibo short texts, and the latter is applicable to find abnormal contents. Both the two methods use semantic information to improve the accuracy of clustering. Besides, they improve the performance of clustering through the parallelism.

Incorporating context-relevant concepts into convolutional neural networks for short text classification

2020 ◽  
Vol 386 ◽  
pp. 42-53 ◽  
Author(s):  
Jingyun Xu ◽  
Yi Cai ◽  
Xin Wu ◽  
Xue Lei ◽  
Qingbao Huang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Text Classification ◽  
Short Text
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