Automatic Short Mail Construction to Enhance Email Storage

摘要

Short Texts play a significant role in reviews, blogs, social networking sites etc. The replacement of featured text by short text can greatly reduce the text size, thereby allowing more information to be communicated. Emails apparently do not have large number of short texts. This paper proposes a novel idea for automatic construction of Short Text Dictionary (STD) that maps the large texts into their short texts thereby curtailing the storage space efficiently. An algorithm has been proposed to convert the featured word into a new Short Word. Normalisation in Sentimental Analysis involves pre-processing of short texts. This constructed dictionary with transliterated word processing can thus be used as a pre-processing tool