Hi Admins,
I went through the Google Summer of Code Wiki and found out
about the mahout-machine-learning project. I wish to participate in
implementing the papers. I am currently working on my Btech Thesis which is
to extract opinionated Sentences from Blogs which is also a part of Text
Retrieval Conference TREC 2008 Blog
Track<http://ir.dcs.gla.ac.uk/wiki/TREC-BLOG/#head-9dd52f8791e8d7ba62f3bdd63932e0ec04e83ac8>under
the guidance of Prof.
Sudeshna Sarkar <http://www.facweb.iitkgp.ernet.in/%7Esudeshna>. For
implementing of my Trec System, I have experimented with Classifiers( NB,
SVM, Decision Trees) and Clustering Algorithms( k-means, and Gaussian
Mixtures). For the project i had used C# version of Lucene (Lucene.NET) to
index and Retrieve Documents in the Blog06
Collection<http://ir.dcs.gla.ac.uk/test_collections/blog06info.html>(160GB).
I believe working on this project would aid me to further improve the
performance and the efficiency of the system i am working on as well as ease
me in working with the open source community.
I am a 4th year CS Student of IIT Kharagpur working towards a Dual Degree (
B.Tech + M.Tech). And this would be the first time working with an
Open-Source project. Could you suggest me the things I should get
comfortable with in implementing this as well as the detail you require in
the proposal for implementation
Robin
