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Latent Dirichlet Allocation (LDA) in PHP to cluster articles

Latent Dirichlet Allocation (LDA) is a method for clustering documents.

Write a Latent Dirichlet Allocation implementation for PHP, most probably using Gibbs Sampling. I do not know of any PHP implementation, but there are for python ([url removed, login to view]), C ([url removed, login to view]), and other languages.

The input will be an array of strings (each string = a document).

The output will be the LDA clusters (topics, word probabilities within each topic, and topic assignments for each document). It should run in native PHP, no extensions.

We will incorporate your code into a larger system which will cluster WordPress blog articles.

Taidot: Koneoppiminen, PHP

Näytä lisää: lda php, latent dirichlet allocation php, latent dirichlet allocation, dirichlet, wordpress learning code, python learning, python assignments, learning to write code, learning to write articles, php latent dirichlet allocation, sampling, python strings, php to c, php master, machine learning python, IIR, cluster, python wordpress, output php, word cluster, python implementation, master php, machine learning implementation, github wordpress, wordpress github

Tietoa työnantajasta:
( 83 arvostelua ) Rockville, United States

Projektin tunnus: #1703496

4 freelancers are bidding on average $1225 for this job

influxive

Hello Sir/Mam We can do this project for you. Our bid is tentative right now, we will finalize bid amount once specifications are discussed and finalized.

1500 $ USD 25 päivässä
(21 arvostelua)
6.1
thaivn

I can do your job.

1500 $ USD 30 päivässä
(11 arvostelua)
4.4
sergeibon

Hello, I can do this - I have coded lots of machine learning algorithms.

1200 $ USD 20 päivässä
(3 arvostelua)
4.0
lhdgriver

We have recently used LDA in our website([url removed, login to view]). So I'am confident to handle it. some suggestions: You can use 'system call' in php, so you can use c or python implementations.

1200 $ USD 21 päivässä
(0 arvostelua)
0.0
CompScEngineer

MSc in Computer Science, devoted to machine learning, currently doing research in Probabilistic Topic Models.

1000 $ USD 20 päivässä
(0 arvostelua)
0.0