ML-based Expert Products Scoring System

被引:0
|
作者
Mendori, Patryk [1 ]
Pelc, Mariusz [2 ]
Kawala-Sterniuk, Aleksandra [1 ]
Gola, Mariusz [1 ]
机构
[1] Opole Univ Technol, Fac Elect Engn Automat Control & Informat, Opole, Poland
[2] Univ Opole, Fac Math Phys & Comp Sci, Opole, Poland
关键词
Sentiment Analysis; Expert Systems; Machine Learning;
D O I
10.1109/PAEE63906.2024.10701451
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper the authors propose a system architecture which allows product scoring based on sentiment analysis and utilising Machine Learning (ML) and Expert systems technologies. This solution presented in this paper allows decoupling the AI-based part, which is very capable in sentiment analysis but is lacking some flexibility to actually put the sentiment analysis results in a wider context to make a better sense as to what the results actually mean. This task in our solution is performed by the Expert system where the expert may provide some decision making rules in order to determine the final system output.The results confirm discrepancy between reviews and star ratings.
引用
收藏
页数:5
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