Roman Urdu Sentiment Analysis of Reviews on PSL Anthems
Muhammad Asif · Lahore Garrison University Research Journal of Computer Science and Information Technology · 2023
Due to the easy access of internet and smart devices, people are becoming habitual to givetheir feedback on what they hear or watch, online. These reviews are very valuable for all sorts ofusers. Due to the widespread online activities, the count of these reviews has raised tremendously. Thisfact makes it humanly impossible to analyse them manually. So it needs time that reviews to beanalysed and use patterns to be found and explored through the automated channel. This led to a newfield of research known as Sentiment Analysis. This paper is targeting to design a model to performsentiment analysis of Roman Urdu text using the reviews of Pakistan Super League’s official song. Toperform this analysis five different techniques-- Naïve Bayes Kernal, Random Forest, Logistic Regression,K-Nearest Neighbour and Artificial Neural Network, are applied. Naïve Bayes Kernal andLogistic Regression correctly predicted 97.00% reviews