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Categorization of Protean Writers by Exploitation of Raspberry Pi

Journal: International Journal of Trend in Scientific Research and Development (Vol.4, No. 4)

Publication Date:

Authors : ;

Page : 1104-1109

Keywords : Computer Engineering; Bangladeshi Bangla; Inverse Data Frequency; Linear SVM; Principal Component Analysis; Python; Term Frequency; West Bangla;

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Raspberry Pi is a computer though smaller but has versatile functionality. These are useful in assisting variety of educational institutions for teaching and other investigational indagations. In this paper, three prominent Bangladeshi writer's works were catalogued by using Raspberry Pi 3. The significance of this research pivots on low cost computational teaching in different institutions. Mathematica was used for this purpose and it's comprised of two modules which effectively communicate and shape an effective interpreter. It's free on Raspberry. After gathering literature and amassing all text files in BD writer's database, application of variety of algorithms were done for categorization. Then experimental analysis was done. Among different categorizers Markov and Naïve Bayes have high precision and have best training times. This research will help in further distinguishing of languages by using an economical approach and will assist in further investigational studies for better understanding. Pritom Sarker | Jannatul Ferdous | Nakib Aman Turzo | Biplob Kumar | Jyotirmoy Ghose "Categorization of Protean Writers by Exploitation of Raspberry Pi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: Paper Url :

Last modified: 2020-07-14 22:06:51