EVALUATION OF THE EFFECTIVENESS OF TEXT CLASSIFICATION ALGORITHMS ON PERSIAN SHORT TEXTS

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Annamoradnejad Issa; Habibi jafar

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER AND TELECOMMUNICATIONS
Year:2017 | Issue:3

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Title

EVALUATION OF THE EFFECTIVENESS OF TEXT CLASSIFICATION ALGORITHMS ON PERSIAN SHORT TEXTS

Author(s)

Annamoradnejad Issa | Habibi jafar

Keywords

TEXT CLASSIFICATION

SHORT TEXT

NEWS GENRES

TEXT MINING

Abstract

MOST OF THE CLASSIFICATION ALGORITHMS HAVE BEEN DEVISED TO CLASSIFY LONG TEXTS, SUCH AS EMAIL AND WEB PAGES WHICH OVERSHADOWED THEIR EFFECTIVENESS ON SHORT AND SOMETIMES INFORMAL TEXTS. IN THIS PAPER, WE EVALUATED THE ACCURACY OF FOUR MAJOR CLASSIFICATION ALGORITHMS ON PERSIAN SHORT TEXTS. THESE ALGORITHMS ARE NAÏVE BAYES, K-NEAREST NEIGHBORS, DECISION TREES AND SUPPORT VECTOR MACHINE. FIRST, WE BRIEFLY INTRODUCE THEIR OVERALL METHOD AND PROVIDE SOME BASIC INFORMATION, AND THEN, WE APPLY THESE ALGORITHMS TO ONE SPECIFIC DATASET TO MEASURE THEIR EFFECTIVENESS. RESULTS SHOW THAT THE NAÏVE BAYES ALGORITHM FUNCTION COMPARATIVELY BETTER THAN THE OTHERS, WHILE KNN ALGORITHM HAS THE LEAST ACCURACY.

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APA: Copy

Annamoradnejad, Issa, & Habibi, jafar. (2017). EVALUATION OF THE EFFECTIVENESS OF TEXT CLASSIFICATION ALGORITHMS ON PERSIAN SHORT TEXTS. INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER AND TELECOMMUNICATIONS. SID. https://sid.ir/paper/948194/en

Vancouver: Copy

Annamoradnejad Issa, Habibi jafar. EVALUATION OF THE EFFECTIVENESS OF TEXT CLASSIFICATION ALGORITHMS ON PERSIAN SHORT TEXTS. 2017. Available from: https://sid.ir/paper/948194/en

IEEE: Copy

Issa Annamoradnejad, and jafar Habibi, “EVALUATION OF THE EFFECTIVENESS OF TEXT CLASSIFICATION ALGORITHMS ON PERSIAN SHORT TEXTS,” presented at the INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER AND TELECOMMUNICATIONS. 2017, [Online]. Available: https://sid.ir/paper/948194/en

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