Author : Adel Hamdan Mohammad, Omar Al-Momani and Tariq Alwada’n

No doubt that text classification is an important research area in information retrieval. In fact there are many researches about text classification in English language. A few researchers in general talk about text classification using Arabic data set. This research applies three well known classification algorithm. Algorithm applied are K-Nearest neighbour (K-NN), C4.5 and Rocchio algorithm. These well-known algorithms are applied on in-house collected Arabic data set. Data set used consists from 1400 documents belongs to 8 categories. Results show that precision and recall values using Rocchio classifier and K-NN are better than C4.5. This research makes a comparative study between mentioned algorithms. Also this study used a fixed number of documents for all categories of documents in training and testing phase.

Keywords: Text Categorization, k-nearest neighbour, Decision tress, C4.5, Rocchio classifier

Article published in International Journal of Current Engineering and Technology, Vol.6, No.2 (April-2016)