Deep sentiments in Roman Urdu text using Recurrent Convolutional Neural Network model
Information Processing & Management(2020)
摘要
•This study contributes to generating the Roman Urdu corpus by annotating 10,021 reviews for the task of sentiment analysis.•The deep learning models such as RCNN can help in text classification task for the under resource Urdu language.•The RCNN outperforms Rule-based and N-gram methods, due to its ability to learn a language-independent textual context.
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关键词
Roman Urdu corpus,Urdu sentiment analysis,Under resource language,Deep learning,Text Classification,Recurrent Convolutional Neural Networks (RCNN)
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络