Roman Urdu sentiment analysis using Machine Learning with best parameters and comparative study of Machine Learning algorithms

Roman Urdu sentiment analysis using Machine Learning with best parameters and comparative study of Machine Learning algorithms

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People talks on the social media as they feel good and easy way to express their feelings about topic, post or product on the ecommerce websites. In the Asia mostly the people use the Roman Urdu language script for expressing their opinion about the topic. The Sentiment analysis of the Roman Urdu (B...

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Bibliographic Details
Main Authors: Sameen Aziz, Saleem Ullah, Bushra Mughal, Faheem Mushtaq, Sabih Zahra
Format: Article
Language:English
Published: The University of Lahore 2020-10-01
Series:Pakistan Journal of Engineering & Technology
Subjects:
Machine Learning, TFIDF, Kaggle, SVM, RF, Logistic Regression, Naïve Bayes, AdaBoost, RANSAC, Hyper parameter
Online Access:http://dev.ojs.com/index.php/pakjet/article/view/537

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http://dev.ojs.com/index.php/pakjet/article/view/537

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