Adrian Kuhn developed LSI for Moose in VW. Hapax. It should be around. I can try to find it if we do not find in Moose Pharo Stef Le 16/6/16 à 09:05, Brice GOVIN a écrit :
Information theory is about quantifying and qualifying the content of an information in a data set. Basically, it means that for a specific dataset I could say which data is interesting or not (according to the algorithm I use).
It is used in information retrieval (IR).
I should have started with that maybeâ¦
Actually, I made mistake talking about information theory, it is more about information retrieval (my bad..). However, with the Moose-Algo-Information-Retrieval, I have only a set of words that is used in documents but I would like to know if there was an effort on any algorithm to qualify these words ? There different kinds of model: - set-theoretic model - documents are represented as set of words or phrases and similarity derives from the set-theoretic operations on those sets (I donât understand so much this one for now..) - Common techniques are Boolean Model (several kinds) and Fuzzy Retrieval - algebraic model - documents and queries are represented as vectors (or matrices or tuples) and similarity is computed between query and document thanks to this representation - Common techniques are Latent Semantic Indexing (LSI), Vector Space Model (several kinds) - probabilistic model - there is no particular representation for documents here. Similarity is computed using the probability the document is relavant for the query - Common techniques are Latent Dirichlet Allocation or others
Iâm more about using an algebraic model and maybe is there something on Latent Semantic Indexing?
Iâm not sure, I explained my thinking well â¦
Regards, */--------------/* */Brice Govin /* /PhD student in RMoD research team at INRIA Lille / /Software Engineer at THALES AIR SYSTEMS Rungis// ENSTA-Bretagne ENSI2014 22 Avenue du General Leclerc 92340 BOURG-LA-REINE/
On 15 Jun 2016, at 22:54, Alexandre Bergel <alexandre.bergel@me.com <mailto:alexandre.bergel@me.com>> wrote:
Yes, tell us more. This is an interesting topic
Alexandre -- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu <http://www.bergel.eu/> ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
On Jun 15, 2016, at 4:38 PM, stepharo <stepharo@free.fr <mailto:stepharo@free.fr>> wrote:
Le 15/6/16 à 19:03, Brice GOVIN a écrit :
Hi, I'd like to know if someone did a work on information theory algorithm ?
tell us more. What is it?
I saw a package in Moose about information theory but it is just a kind of document indexation.
Is there something more complete (quantities information)?
Thanks,
*/--------------/* */Brice Govin /* /PhD student in RMoD research team at INRIA Lille / /Software Engineer at THALES AIR SYSTEMS Rungis// ENSTA-Bretagne ENSI2014 22 Avenue du General Leclerc 92340 BOURG-LA-REINE/