An implementation method for Arabic keyword tendency using decision tree
| Autor: | Hasan Hashim, El-Sayed Atlam, Ahmad Reda Alzighaibi, Malik Almaliki |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer Networks and Communications
business.industry Arabic Computer science Decision tree Extension (predicate logic) computer.software_genre Industrial and Manufacturing Engineering language.human_language Field (computer science) Computer Science Applications Domain (software engineering) Data set Constant (computer programming) ComputingMethodologies_DOCUMENTANDTEXTPROCESSING language Artificial intelligence Electrical and Electronic Engineering business computer Software Natural language processing Information Systems |
| Zdroj: | International Journal of Computer Applications in Technology. 63:55 |
| ISSN: | 1741-5047 0952-8091 |
| DOI: | 10.1504/ijcat.2020.10030080 |
| Popis: | Generally, keyword recurrences change over certain periods of time. Traditional approaches estimated classes (increasing, relatively constant and decreasing) that indicate keywords' attribute changes in a document over certain periods of time using a decision tree. Furthermore, all earlier approaches are based on keywords in English and French languages. Therefore, the extension of keywords to other languages such as Arabic could strengthen further researches in this domain. This paper introduces new method to extract Arabic keywords from corpora based on their recurrences changes in a document over given periods of time using a decision tree. The new approach is applied on new data set field (computer science) which makes it different to traditionally used methods. The comparison between the manually classified results and the evaluation of the decision tree results reveals that F-measures of decreasing, relatively constant and increasing classes were 0.811, 0.917, and 0.897 which indicates effectiveness of our method. |
| Databáze: | OpenAIRE |
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