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

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

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