Arabic Text Mining for Used Cars and Equipments Price Prediction

Authors

  • Belgacem Brahimi University of Bejaia

DOI:

https://doi.org/10.13053/cys-26-2-3185

Keywords:

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

Abstract

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.

Author Biography

Belgacem Brahimi, University of Bejaia

Department of Computer science

Downloads

Published

2022-06-15

Issue

Vol. 26 No. 2 (2022): Emerging Issues and Applications of Fuzzy Systems, Neural Networks and Metaheuristics (Castillo, Melin, Montiel, Valdez)

Section

Articles

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.