Context-Aware Spelling Corrector for Sentiment Analysis
Zubair Asghar, Aurangzeb Khan, Fazal Masud Kundi2, Maria Qasim2, Ahmad2, Shakeel · Figshare · 2015
This paper presents a Context-Aware Spelling Corrector for Sentiment Analysis based on similarity measures and statistical language model. The paper also presents some compelling statistics about spelling errors. The comparative results show that the proposed framework outperforms the related systems, features wise and in accuracy.