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Fusion: Practice and Applications
Volume 9 , Issue 1, PP: 38-46 , 2022 | Cite this article as | XML | Html |PDF

Title

Blog Feedback Prediction based on Ensemble Machine Learning Regression Model: Towards Data Fusion Analysis

  Hamzah A. Alsayadi 1 * ,   El-Sayed M. El-Kenawy 2 ,   Abdelhameed Ibrahim 3 ,   Marwa M. Eid 4 ,   Abdelaziz A. Abdelhamid 5

1  Computer Science Department, Faculty of Sciences, Ibb University, Yemen
    (hamzah.sayadi@cis.asu.edu.eg)

2  Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, 35111, Egypt
    (skenawy@ieee.org)

3  Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, 35516, Mansoura Egypt
    (afai79@mans.edu.eg)

4  Faculty of Artifcial Intelligence, Delta University for Science and Technology, Mansoura, Egypt
    (marwa.3eeed@gmail.com)

5  Computer Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, 11566, Egypt
    (abdelaziz@cis.asu.edu.eg)


Doi   :   https://doi.org/10.54216/FPA.090103

Received: May 06, 2022 Accepted: September 20, 2022

Abstract :

The last decade lead to an unbelievable growth of the importance of social media. Due to the huge amounts of documents appearing in social media, there is an enormous need for the automatic analysis of such documents. In this work, we proposed various regression models for the blog feedback prediction to be used in the data fusion environment. These models include decision tree regressor, MLP regressor, SVR, random forest regressor, and K-Neighbors regressor. The models are enhanced by average ensemble and ensemble using K-Neighbors regressor. The Blog Feedback dataset is used for training and evaluating the proposed models. The results show that there is a decrease in RMSE, MAE, MBE, R, R2, RRMSE, NSE, and WI when compared to the traditional methods.

Keywords :

Blog feedback prediction; Ensemble model; Machine learning; Regression model; Data fusion

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Cite this Article as :
Style #
MLA Hamzah A. Alsayadi, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa M. Eid, Abdelaziz A. Abdelhamid. "Blog Feedback Prediction based on Ensemble Machine Learning Regression Model: Towards Data Fusion Analysis." Fusion: Practice and Applications, Vol. 9, No. 1, 2022 ,PP. 38-46 (Doi   :  https://doi.org/10.54216/FPA.090103)
APA Hamzah A. Alsayadi, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa M. Eid, Abdelaziz A. Abdelhamid. (2022). Blog Feedback Prediction based on Ensemble Machine Learning Regression Model: Towards Data Fusion Analysis. Journal of Fusion: Practice and Applications, 9 ( 1 ), 38-46 (Doi   :  https://doi.org/10.54216/FPA.090103)
Chicago Hamzah A. Alsayadi, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa M. Eid, Abdelaziz A. Abdelhamid. "Blog Feedback Prediction based on Ensemble Machine Learning Regression Model: Towards Data Fusion Analysis." Journal of Fusion: Practice and Applications, 9 no. 1 (2022): 38-46 (Doi   :  https://doi.org/10.54216/FPA.090103)
Harvard Hamzah A. Alsayadi, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa M. Eid, Abdelaziz A. Abdelhamid. (2022). Blog Feedback Prediction based on Ensemble Machine Learning Regression Model: Towards Data Fusion Analysis. Journal of Fusion: Practice and Applications, 9 ( 1 ), 38-46 (Doi   :  https://doi.org/10.54216/FPA.090103)
Vancouver Hamzah A. Alsayadi, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa M. Eid, Abdelaziz A. Abdelhamid. Blog Feedback Prediction based on Ensemble Machine Learning Regression Model: Towards Data Fusion Analysis. Journal of Fusion: Practice and Applications, (2022); 9 ( 1 ): 38-46 (Doi   :  https://doi.org/10.54216/FPA.090103)
IEEE Hamzah A. Alsayadi, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa M. Eid, Abdelaziz A. Abdelhamid, Blog Feedback Prediction based on Ensemble Machine Learning Regression Model: Towards Data Fusion Analysis, Journal of Fusion: Practice and Applications, Vol. 9 , No. 1 , (2022) : 38-46 (Doi   :  https://doi.org/10.54216/FPA.090103)