文件名称:LDA-topic-model
介绍说明--下载内容均来自于网络,请自行研究使用
首先声明,这是别人写的LDA主题模型代码,本人测试过,可以运行,但是输出跟输出有点不尽人意,输入的是词的序号和该词在文档中出现的次数,要是可以直接读取文档就完美了。输出是主题以及词在该主题出现的概率,其中得到的主题我就看不懂了,不知道是算法问题,还是因为我的水平有限。在研究LDA主题模型的朋友,可以下载试一下-First statement, which is written by someone else LDA topic model code, I tested, you can run, but the output with the output bit unsatisfactory, enter the number of times the word number and word appears in a document, if you can read directly document is perfect. The output is the probability of topics and words in the topic appears, the theme of which was I would not read, do not know algorithmic problems, or because of my limited level. In the research LDA topic model friends, you can download a try
(系统自动生成,下载前可以参看下载内容)
下载文件列表
LDA topic model\accum_beta.m
...............\assert1.m
...............\converged.m
...............\diff_vec.m
...............\features.m
...............\fmatrix.m
...............\isint.m
...............\lda.m
...............\ldamain.m
...............\lda_lik.m
...............\lda_ppl.m
...............\mnormalize.m
...............\newton_alpha.m
...............\normalize.m
...............\README
...............\rtime.m
...............\train1
...............\vbem.m
...............\实验说明.txt
LDA topic model