Abstract:
Spelling Correction is a crucial component in modern text mining systems such as Web Sentiment Analysis systems where spelling errors may affect the sentiment scores. Man...Show MoreMetadata
Abstract:
Spelling Correction is a crucial component in modern text mining systems such as Web Sentiment Analysis systems where spelling errors may affect the sentiment scores. Many existing spelling correction methods generally deal with in-word spelling errors. Major drawback with such methods is that they are unable to handle cross-words spelling errors such as splitting and concatenation. In this paper we address this limitation by our discriminative approach that handles splitting and concatenation errors over a particular topic. It also handles the cases where these errors occur over in-word spelling errors.
Published in: 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Date of Conference: 22-25 August 2013
Date Added to IEEE Xplore: 21 October 2013
ISBN Information: