文件名称:LDA-topic-model
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- 上传时间:2016-06-07
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文件大小:12.1kb
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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
LDA topic model/assert1.m
LDA topic model/converged.m
LDA topic model/diff_vec.m
LDA topic model/features.m
LDA topic model/fmatrix.m
LDA topic model/isint.m
LDA topic model/lda.m
LDA topic model/ldamain.m
LDA topic model/lda_lik.m
LDA topic model/lda_ppl.m
LDA topic model/mnormalize.m
LDA topic model/newton_alpha.m
LDA topic model/normalize.m
LDA topic model/README
LDA topic model/rtime.m
LDA topic model/train1
LDA topic model/vbem.m
LDA topic model/实验说明.txt
LDA topic model
LDA topic model/assert1.m
LDA topic model/converged.m
LDA topic model/diff_vec.m
LDA topic model/features.m
LDA topic model/fmatrix.m
LDA topic model/isint.m
LDA topic model/lda.m
LDA topic model/ldamain.m
LDA topic model/lda_lik.m
LDA topic model/lda_ppl.m
LDA topic model/mnormalize.m
LDA topic model/newton_alpha.m
LDA topic model/normalize.m
LDA topic model/README
LDA topic model/rtime.m
LDA topic model/train1
LDA topic model/vbem.m
LDA topic model/实验说明.txt
LDA topic model
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