作者
Toqir A Rana, Kiran Shahzadi, Tauseef Rana, Ahsan Arshad, Mohammad Tubishat
发表日期
2021/11/3
期刊
Transactions on Asian and Low-Resource Language Information Processing
卷号
21
期号
2
页码范围
1-16
出版商
ACM
简介
During the last two decades, sentiment analysis, also known as opinion mining, has become one of the most explored research areas in Natural Language Processing (NLP) and data mining. Sentiment analysis focuses on the sentiments or opinions of consumers expressed over social media or different web sites. Due to exposure on the Internet, sentiment analysis has attracted vast numbers of researchers over the globe. A large amount of research has been conducted in English, Chinese, and other languages used worldwide. However, Roman Urdu has been neglected despite being the third most used language for communication in the world, covering millions of users around the globe. Although some techniques have been proposed for sentiment analysis in Roman Urdu, these techniques are limited to a specific domain or developed incorrectly due to the unavailability of language resources available for …
引用总数
学术搜索中的文章
TA Rana, K Shahzadi, T Rana, A Arshad, M Tubishat - Transactions on Asian and Low-Resource Language …, 2021