Arabic Text Mining for Used Cars and Equipments Price Prediction

Belgacem Brahimi


Today, companies and businessmen are increasingly interested in the web for its potential and opportunities in marketing and commercial activities. Despite the importance of Internet advertising of used equipments available on the web, work targeting their analysis is neglected. In this paper, we study the utility of using text mining techniques as well as the role of textual data in improving price prediction.  In order to evaluate the proposed methods, we collected advertisements for two cases: the sale of used cars and lots of construction equipments. In addition, we applied four prediction algorithms to estimate prices of used cars and equipments. Experimental results showed that the integration of text mining techniques improves significantly predicting the price of used cars and equipments.


Text mining, supervised machine learning, regression, used cars prices, used equipment price, price prediction

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