Exploiting Web-based Collective Knowledge for Micropost Normalisation
نویسندگان
چکیده
The task of normalising user-generated content is a crucial step before analysing social media posts, particularly on Twitter. This paper presents a method for the morphological of tweets by the use of on-line and collectively developed resources, including Wikipedia and a SMS lexicon. The results obtained demonstrate that these resources are a valuable source of knowledge for generating the dictionaries used in the normalisation task.
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تاریخ انتشار 2013