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The [[noise]] can be seen as all the differences between the surface form of a coded representation of the [[plain text|text]] and the intended, correct, or original text.<ref>{{cite journal| title=Special Issue on Noisy Text Analytics|author=Knoblock, C., Lopresti, D., Roy, S., Subramaniam, L. V.|journal=International Journal on Document Analysis and Recognition|year=2007}}</ref> It can be due to e.g. [[typographic error]]s or [[colloquialism]]s always present in [[natural language]] and usually lowers the [[data quality]] in a way that makes the text less accessible to automated processing by computers such as [[natural language processing]]. The [[noise]] can also get introduced through an extraction process (i.e. [[Transcription (linguistics)|transcription]], [[optical character recognition|OCR]]) from media other than original [[electronic text]]s.<ref>{{cite journal|doi=10.1109/TPAMI.2005.248 |title=Noisy text categorization|year=2005|journal=IEEE Transactions on Pattern Analysis and Machine Intelligence Volume|last=Vinciarelli|first=A.|volume=27|issue=12}}</ref>
Language usage over computer mediated discourses, like [[chatroom|chats]], [[email]]s and [[SMS]] texts, significantly differs from the standard form of the language. An urge towards shorter message length facilitating [[typing speed|faster typing]] and the need for [[semantic]] clarity, shape the structure of this text used in such discourses.
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