Autonomous Mastery and Purpose always ensures personalized satisfaction.
Well, I Sakthi Dasan (shakthydoss) a person to be honest in his relationship and dedicated to his profession. He is simple, minimalist and amature cook. He likes everything and anything in this world that would make him happy. He likes to travel, he likes movies and he likes to talk to all humans who tries to be being human.
Hakuna matata
Since 2008 I have been writing, no matter it is good or bad. I find documenting is one of way to keeps track of things that you have gone thought so far. I welcome your questions and comments about the posts. If you find anything to say then feel free to ping me at shakthydoss@gmail.com
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26 Comments
at 10:29 AM - 24th August 2010 Permalink
I was a Medical Librarian & resigned from the post.
Now I am writing on Medical topics & Librarianship & doing medical services to the needed persons of the society.
I found that you are highly learned person on the IT technical field. I do not know about this IT. You can
give me your knowledge. However we will be in touch.
With the good wishes to you.
Thanks with regards to you.
Dr.N.C.Ghatak
at 12:40 PM - 24th August 2010 Permalink
Dear Dr.N.C.GHATAK
Thank you for the kind wishes, I am really willing to share my knowledge if that is going to benefit others and it really motivate me also .
We could definitely be in touch; my email id shakthydoss@gamil.com
And I think we both have already met before; when I come to West Bengal for competition INFOCOM you stepped into my stall, hope you can recall that [?]
at 11:57 AM - 20th March 2012 Permalink
Dear Sakti,
How are you? I am OK. I am now working at the Government Medical College as Librarian.
I would like to go to Antarctica. You can accompany me. Please arrange to go there.
Give me all the information regarding this Antarctica tour.
With the best wishes to you.
Dr.N.C.Ghatak.
at 12:29 PM - 22nd April 2011 Permalink
I am Abhishek R. Nath. I am doing my M.Tech in Computer Science in Amrita Vishwa Vidyapeetham. As part of the case study that was given to us, we are working in Hidden Markov Models.
Our topic is Extracting the Names of Genes and Gene Products with a Hidden Markov Model. We have to predict genes and protein words from a given biological document. We completed almost all part of our case study. We designed an HMM with three states- Protein ,Gene, Unknown. So the transition matrix is a 3X3 matrix. But we have a confusion in selecting the dimension for the observation matrix. We have designed a 3X3 matrix for observation probability distribution. But we are getting a wrong output. Our model is predicting non protein words as protein, gene etc. We are putting some random values in observation matrix since we dont know how actually the values of observation matrix are calculated. Our guide is also saying the same that our calculation of values for observation matrix may be wrong.
While searching its answer through the internet, I came across your HMM tool for address validation. I downloaded it and executed it. Then I thought you must know how to calculate the values for the observation matrix. We need your help. So please help us. Please tell us how to calculate the probabilities. If you want more details please reply to me, I will send the details.
at 1:30 PM - 22nd April 2011 Permalink
Dear Abhishek ,
Observation matrix
row corresponds to your observation and observation can be a target-words or keywords.
columns corresponds to your state.
In your case Observation matrix size can be nX3
calculating the value :
Assume a matrix like this
S1 S2 S3
A 2/14 5/14 0
B 1/14 3/14 1/14
C 11/14 1/14 4/14
D 3/14 6/14 0/14
E 0 7/14 2/14
Now look at first row of fist column in above matrix its value is 2/14 , 1.e the the target words A which belong to state S1has occurred 2 times in the entire document and it should be divided by the total no of target words in the entire document.
simply say keyword Frequency / total no of Keywords
I tied this formula for my HMM tool .
at 5:33 PM - 22nd April 2011 Permalink
But I have a doubt. How the target word A can appear in both the state S1 and S2 at the same time? At a time a single word can appear in only one state, right? And also what is n in nX3 means, is it the total no. of words in the document?
at 3:01 AM - 24th April 2011 Permalink
To Abhishek
It is not necessary that target words have to occur in only one state. It depends on the application what you develop. In your case target word have to take only one state so make the frequency count accountable for that particular state and make zero for other stares.
eg :
2/14 0 0
0 4/14 0
6/14 0 0
0 0 4/14
…
Then ‘n’ is the no of target words in your document
at 12:45 AM - 21st May 2011 Permalink
Generar la matrix count
at 5:02 AM - 21st May 2011 Permalink
I cant understand your question , sorry.
at 3:27 AM - 8th June 2011 Permalink
can I have your face book acoount ?
at 7:38 AM - 8th June 2011 Permalink
My Face book account
http://www.facebook.com/people/Sakthi-Dasan/100000999595572
at 1:06 PM - 25th September 2011 Permalink
I want to know about Key in cryptography.
I cant understand what Key is about.. I want a example from u.. thanks in advance
at 8:07 AM - 26th September 2011 Permalink
Hi Sathish ,
Key is nothing but a piece of information that helps to crack you cipher text.
Example : –
Consider General bank lock and key system
in which unique lock can only be opened by its specific key.
And depending upon the cryptography technology this key system various.
at 8:28 AM - 31st October 2011 Permalink
hi there,
my name is roshan chaudhary and i am really interested in your blog and i have also mailed you regarding my issues. hope you check the email and reply me your views.
Regards,
Roshan Chaudhary
at 4:02 PM - 31st October 2011 Permalink
Dear Roshan ,
could not get your issue ……
can you revert back the mail again.
at 8:53 AM - 2nd January 2012 Permalink
Hi.,
Im persuing my M.E (computer science engineering) and im doing project in the area web mining(i.e) personalization.can u share ur idea about preprocessing the web documents. Thank u.
with regards.,
Divya
at 6:40 PM - 23rd June 2012 Permalink
asubramani@rocketmail.com
A.Subramani 9003161140
chennai
the letters in the uyirmeiyazhthukal tamil you mentioned uyiryzhuthukal
at 7:01 PM - 4th August 2012 Permalink
Your content material are good , saved to bookmarks ! .
at 10:41 PM - 20th September 2012 Permalink
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at 8:11 AM - 9th October 2012 Permalink
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at 10:47 AM - 10th March 2013 Permalink
There are many good pieces of information available on your site.
I really appropriated your works.
And I almost visited every link on site.
I recommend for a site-map which could help not missing any thing from the end readers.
Thank you,
Raj Kumar
IIT Roorkee
at 6:38 PM - 7th December 2013 Permalink
Hi Shakthy,
I came across your plagiarism detection among documents using cosine similarity. Would you kindly share the code so i can use it in my research.
BTW, i am doing a research task regarding documents dissimilarity . If you could offer some thoughts and some code that can help me. i would be very glad. Very urgently needed your help.
Eagerly waiting for your reply.
Thanks
Best wishes
Chris
at 11:40 AM - 8th December 2013 Permalink
Approved
at 5:14 PM - 26th June 2014 Permalink
hello
i just gone through your blogs
can you please share me your email id. i need help in my text mining research.
please reply me as soon as possible
at 5:47 PM - 26th June 2014 Permalink
Hi Unnati please find my contact id.
shakthydoss@gmail.com
at 6:04 PM - 19th November 2016 Permalink
Excellent writings…
I have given Linkedin request to stay in touch.
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