Re: LDA Topic Model and Topic Maps

Antonisamy,

You may also be interested in the resources cited at the Wikipedia page 
on LDA:

> he LDA model is highly modular and can therefore be easily extended, 
> the main field of interest being the *modeling of relations between 
> topics.* This is achieved e.g. by using another distribution on the 
> simplex instead of the Dirichlet. The Correlated Topic Model^[5] 
> <http://en.wikipedia.org/wiki/Latent_Dirichlet_allocation#cite_note-4> 
> follows this approach, inducing a correlation structure between topics 
> by using the logistic normal distribution instead of the Dirichlet. 
> Another extension is the hierarchical LDA (hLDA)^[6] 
> <http://en.wikipedia.org/wiki/Latent_Dirichlet_allocation#cite_note-5> 
> , where topics are joined together in a hierarchy by using the nested 
> Chinese restaurant process 
> <http://en.wikipedia.org/wiki/Chinese_restaurant_process>. (emphasis 
> added)

Wikipage: http://en.wikipedia.org/wiki/Latent_Dirichlet_allocation

Hope you are having a great day!

Patrick


On 8/4/2011 6:22 AM, Lars Heuer wrote:
> [...]
>> Limiting your terms to a specific domain (as I did) may provide usable
>> results, though.
> Meant: Limiting your *subjects* to a specific domain [...]
>
> Best regards,
> Lars

-- 
Patrick Durusau
patrick-Q/[email protected]
Chair, V1 - US TAG to JTC 1/SC 34
Convener, JTC 1/SC 34/WG 3 (Topic Maps)
Editor, OpenDocument Format TC (OASIS), Project Editor ISO/IEC 26300
Co-Editor, ISO/IEC 13250-1, 13250-5 (Topic Maps)

Another Word For It (blog): http://tm.durusau.net
Homepage: http://www.durusau.net
Twitter: patrickDurusau

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