About Me

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shakthydoss

shakthydoss

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


I am nerdier than 95% of all people. Are you a nerd? Click here to take the Nerd Test, get nerdy images and jokes, and talk on the nerd forum!

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26 Comments

  1. Dr.N.C.GHATAK wrote
    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

  2. shakthydoss wrote
    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 [?] …

  3. Drncghatak Ghatak wrote
    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.

  4. Abhishek R Nath wrote
    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.

  5. shakthydoss wrote
    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 .

  6. Abhishek R Nath wrote
    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?

  7. shakthydoss wrote
    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

  8. Mari wrote
    at 12:45 AM - 21st May 2011 Permalink

    Generar la matrix count

  9. shakthydoss wrote
    at 5:02 AM - 21st May 2011 Permalink

    I cant understand your question , sorry.

  10. Mustafa adel wrote
    at 3:27 AM - 8th June 2011 Permalink

    can I have your face book acoount ?

  11. shakthydossdoss wrote
    at 7:38 AM - 8th June 2011 Permalink

    My Face book account
    http://www.facebook.com/people/Sakthi-Dasan/100000999595572

  12. Sathish wrote
    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

  13. shakthydoss wrote
    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.

  14. Roshan Chaudhary wrote
    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

  15. shakthydoss wrote
    at 4:02 PM - 31st October 2011 Permalink

    Dear Roshan ,

    could not get your issue ……
    can you revert back the mail again.

  16. divya wrote
    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

  17. A.Subramani wrote
    at 6:40 PM - 23rd June 2012 Permalink

    asubramani@rocketmail.com
    A.Subramani 9003161140
    chennai

    the letters in the uyirmeiyazhthukal tamil you mentioned uyiryzhuthukal

  18. Sargent wrote
    at 7:01 PM - 4th August 2012 Permalink

    Your content material are good , saved to bookmarks ! .

  19. Morton Ellstrom wrote
    at 10:41 PM - 20th September 2012 Permalink

    I simply want to mention I am just all new to blogs and really enjoyed you’re page. Most likely I’m planning to bookmark your site . You really have good posts. Kudos for sharing with us your website page.

  20. Loura Preissner wrote
    at 8:11 AM - 9th October 2012 Permalink

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  21. Raj kumar Venkatesan wrote
    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

  22. Chris wrote
    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

  23. shakthydoss wrote
    at 11:40 AM - 8th December 2013 Permalink

    Approved

  24. Unnati Thakur wrote
    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

  25. shakthydoss wrote
    at 5:47 PM - 26th June 2014 Permalink

    Hi Unnati please find my contact id.
    shakthydoss@gmail.com

  26. Pradeep Sharma wrote
    at 6:04 PM - 19th November 2016 Permalink

    Excellent writings…
    I have given Linkedin request to stay in touch.

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