RUSAS: Roman Urdu Sentiment Analysis System  

作　　者：Kazim Jawad Muhammad Ahmad Majdah Alvi Muhammad Bux Alvi 

机构地区：[1]Faculty of Computer Science and Engineering,Frankfurt University of Applied Sciences,Frankfurt am Main,60318,Germany [2]Technical Writer and Researcher,Proteus Technologies LLC,Islamabad,04405,Pakistan [3]Faculty of Engineering,The Islamia University of Bahawalpur,Bahawalpur,63100,Pakistan

出　　处：《Computers, Materials & Continua》2024年第4期1463-1480,共18页计算机、材料和连续体（英文）

摘　　要：Sentiment analysis, the meta field of Natural Language Processing (NLP), attempts to analyze and identify thesentiments in the opinionated text data. People share their judgments, reactions, and feedback on the internetusing various languages. Urdu is one of them, and it is frequently used worldwide. Urdu-speaking people prefer tocommunicate on social media in Roman Urdu (RU), an English scripting style with the Urdu language dialect.Researchers have developed versatile lexical resources for features-rich comprehensive languages, but limitedlinguistic resources are available to facilitate the sentiment classification of Roman Urdu. This effort encompassesextracting subjective expressions in Roman Urdu and determining the implied opinionated text polarity. Theprimary sources of the dataset are Daraz (an e-commerce platform), Google Maps, and the manual effort. Thecontributions of this study include a Bilingual Roman Urdu Language Detector (BRULD) and a Roman UrduSpelling Checker (RUSC). These integrated modules accept the user input, detect the text language, correct thespellings, categorize the sentiments, and return the input sentence’s orientation with a sentiment intensity score.The developed system gains strength with each input experience gradually. The results show that the languagedetector gives an accuracy of 97.1% on a close domain dataset, with an overall sentiment classification accuracy of94.3%.

关 键 词：Roman Urdu sentiment analysis Roman Urdu language detector Roman Urdu spelling checker FLASK 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]