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 maybe…
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 don’t
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
I’m more about using an algebraic model and maybe is there something
on Latent Semantic Indexing?
I’m not sure, I explained my thinking well …
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.ber...@me.com
<mailto:alexandre.ber...@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 <steph...@free.fr
<mailto:steph...@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/
