2020/10/05 by Irfan Qutab, Qutab, Irfan, Khawar Iqbal Malik +3
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining #Spam and Phishing Detection #Topic Modeling #cs.CL
paper · pdf · doi:10.48550/arxiv.2010.16408
8 Pages, 12 Figures. International Journal of Computer Science and Network - 2020
arxiv created 2020/10/05 · openalex publication_date 2020/10/05 · arxiv updated 2020/11/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In present century, data volume is increasing enormously. The data could be in form for image, text, voice, and video. One factor in this huge growth of data is usage of social media where everyone is posting data on daily basis during chatting, exchanging information, and uploading their personal and official credential. Research of sentiments seeks to uncover abstract knowledge in Published texts in which users communicate their emotions and thoughts about shared content, including blogs, news and social networks. Roman Urdu is the one of most dominant language on social networks in Pakistan and India. Roman Urdu is among the varieties of the world's third largest Urdu language but yet not sufficient work has been done in this language. In this article we addressed the prior concepts and strategies used to examine the sentiment of the roman Urdu text and reported their results as well.