Comparative Studies of Author Identification algorithms for Telugu Classical Poems

  • Authors

    • A. Pandian
    • K. Manikandan
    • V. Ramalingam
    • Pavuluri Sai Krishna
    • V. Jeevan Reddy
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.19.21986
  • weka, portrayal, stylometry, ballads, creator.
  • Abstract

    Creator recognizable proof is the assignment of distinguishing the creator of a given test from an arrangement of suspects. The fundamental worry of this assignment is to characterize a fitting portrayal of test that catches the written work styles of writers. In this task, weka based machine learning apparatuses are utilized for ID of creator for include extraction of reports spoke to utilizing variable size character n-grams. We composed our own java program to extricate the highlights like number of words, sentences and so on. From, the ballad which thusly sustained as contribution to weka device for the recognizable proof of creator then in the wake of testing the contribution with all the calculation all the exactness rates are noted down to see which calculation is given us the best precision rate. Presently to discover the creator name for a mysterious sonnet the lyric highlights are extricated utilizing the java code and the yield is taken in the java record given to the weka instrument and tried with the calculations and after that the creator name is given to the unknown ballads.

     

  • References

    1. [1] Dr.Pandian.A, Ramalingam.V.V and R.P.Vishnu Preet 2016,†Author identification for Tamil Classical Poem (Mukkoodar pallu) using Bayes Net Algorithmâ€, Indian Journal of Science and Technology,Vol9(47),DOI:10.17485/ijst/2016/v9i47/107910,December 2016.

      [2] Farkhund Iqbal, Hamad Binsalleeh, Benjamin C.M. Fung, Mourad Debbabi, 2015,†E-mail authorship attribution using customized associative classificationâ€,Digital investigation (Elsevier), Vol.7,pp.56-64

      [3] “A Computational Framework for Tamil Document Classification using Random Kitchen Sinkâ€, Sanjanasri J.P and Anand Kumar M, IEEE, 2015, International Conference on Advances in Computing, Communications and Informatics (ICACCI)

      [4] “An Evaluation of Authorship Attribution Using Random Forestsâ€, Mahmoud Khonji, Youssef Iraqi, Andrew Jones, IEEE, 2015, International Conference on Information and Communication Technology Research (ICTRC2015)

      [5] “Towards Author Identification of Arabic Text Articlesâ€, by Ahmed Fawziotoom, Emad E Abdullah, Shifaa Jaafar, Aseer

      [6] Hamdellh, Dana Amer, 2014 IEEE, 5th International Conference on Information and Communication Systems (ICICS)

      [7] Pandian, A., and Md. Abdul Karim Sadiq, 2014, “Authorship Categorization In Email Investigations Using Fisher’s Linear Discriminate Method With Radial Basis Functionâ€, International Journal of Computer Science, Vol.10,No.6,pp.1003-1014 ( SNIP: 0.874)

      [8] Al-Falahi Ahmed, Ramdani Mohammad, Bellahfkimustafa, Al-Sarem Mohammad, “Authorship Attribution in Arabic Poetryâ€, 78-1-4799-7560-0/15, 2015, IEEE

      [9] Ahmed Fawzi Otoom, Emad E. Abdullah, Shifaa Jaafer, Aseel Hamdallh, Dana Amer “Towards Author Identification of Arabic Text Articlesâ€, 2014, IEEE, 5th International Conference on Information and Communication Systems (ICICS)

      [10] Bhargava Urala k, A.G.Ramakrishnan and Sahil Mohammad, â€Recognition of Open Vocabulary, Online Tamil Handwritten Pages in Tamil Scriptâ€, 2014 IEEE, Vol.42, No.3, pp.6-9.

      [11] Pandian, A., and Md. Abdul Karim Sadiq, 2012, “Detection of Fraudulent Emails by Authorship Extractionâ€, International Journal of Computer Application Vol.41, No.7, pp.7 – 12.

      [12] Pandian, A., and Md. Abdul Karim Sadiq, 2013, “Authorship Attribution In Tamil Language Email For Forensic Analysisâ€, International Review on Computers and Software, Vol. 8, No. 12 , pp.2882-2888, (SNIP: 1.178).

      [13] M.Mahalakshmi, MalathiSharavanan, “Ancient Tamil Script Recognition and Translation Using LabVIEWâ€, IEEE, 2013, International conference on Communication and Signal Processing, April 3-5.

      [14] Farkhund Iqbal, Hamad Binsalleeh, Benjamin C.M. Fung, Mourad Debbabi, 2010,â€Mining writeprints from anonymous e-mails for forensic investigationâ€,Digital Investigation(Elsevier), Vol.7, pp.56-64

      [15] Bagavandas, M., Hameed, A., Manimannan G, 2009, “Neural Computation in Authorship Attribution: The Case of Selected Tamil Articlesâ€, Journal Quantitative Linguistics, Vol.16, No.2, pp.115-131.

      [16] R Chandrasekaran and G Manimannan, 2013, â€Use of Generalized Regression Neural Network in Authorship Attributionâ€, International Journal of Computer Applications, Vol.62,No.4,pp.7-10.

      [17] Pandian, A., and Md. Abdul Karim Sadiq, 2014, “A study of Authorship Identification Techniques in Tamil Articlesâ€, International Journal of Software and Web Sciences, Vol. 7 No.1, pp.105-108.

      [18] Farkhund Iqbal, Hamad Binsalleeh, Benjamin C.M. Fung, Mourad Debbabi, 2010,â€Mining writeprints from anonymous e-mails for forensic investigationâ€,Digital Investigation (Elsevier), Vol.7, pp.56-64.

  • Downloads

  • How to Cite

    Pandian, A., Manikandan, K., Ramalingam, V., Sai Krishna, P., & Jeevan Reddy, V. (2018). Comparative Studies of Author Identification algorithms for Telugu Classical Poems. International Journal of Engineering & Technology, 7(4.19), 8-12. https://doi.org/10.14419/ijet.v7i4.19.21986

    Received date: 2018-11-28

    Accepted date: 2018-11-28

    Published date: 2018-11-27