Topic Model Visualization with IPython']Python

被引：0
|
作者：
Karpovich, Sergey [1 ]
Smirnov, Alexander [2 ,3 ]
Teslya, Nikolay [2 ,3 ]
Grigorev, Andrei [3 ]
机构：
[1] Mos Ru, Moscow, Russia
[2] SPIIRAS, St Petersburg, Russia
[3] ITMO Univ, St Petersburg, Russia
来源：
PROCEEDINGS OF THE 20TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT 2017) | 2017年
基金：
俄罗斯基础研究基金会;
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper introduces an approach to topic model visualization that is characterized by wide possibilities of choosing a method of visualization, user-friendly model representation, and simplicity of implementation for applications. The existing approaches to topic models visualization have been analyzed, and a system, which allows choosing data source for topic models, changing modeling parameters and visualizing the result of topic modeling with IPython has been developed. The example of topic model visualization has been built using the SCTM-en corpus of original news text.
引用
收藏
页码：131 / 137
页数：7
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