TY  - JOUR
TI  - The impact of text preprocessing on the prediction of review ratings
AB  - With the increase of e-commerce platforms and online applications, businessmen are looking to have a ratingand review system through which they can easily reveal the feelings of customers related to their products and services. Itis undeniable from the statistics that online ratings and reviews attract new customers as well as increase sales by meansof providing confidence, ratification, opinions, comparisons, merchant credibility, etc. Although considerable researchhas been devoted to the sentiment analysis for review classification, rather less attention has been paid to the textpreprocessing which is a crucial step in opinion mining especially if convenient preprocessing strategies are found out toincrease the classification accuracy. In this paper, we concentrate on the impact of simple text preprocessing decisions inorder to predict fine-grained review rating stars whereas the majority of previous work focused on the binary distinctionof positive vs. negative. Therefore, the aim of this research is to analyze preprocessing techniques and their influence,at the same time explain the interesting observations and results on the performance of a five-class–based review ratingclassifier.
AU  - IŞIK, Muhittin
AU  - DAĞ, Hasan
DO  - 10.3906/elk-1907-46
PY  - 2020
JO  - Turkish Journal of Electrical Engineering and Computer Sciences
VL  - 28
IS  - 3
SN  - 1300-0632
SP  - 1405
EP  - 1421
DB  - TRDizin
UR  - http://search/yayin/detay/338421
ER  -