Discovering similar Twitter accounts using semantics release_uk6kz7c42bhl5f6s7caakrhjhy

by Gerasimos Razis, Ioannis Anagnostopoulos

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2015  

Abstract

On daily basis, millions of Twitter accounts post a vast number of tweets including numerous Twitter entities (mentions, replies, hashtags, photos, URLs). Many of these entities are used in common by many accounts. The more common entities are found in the messages of two different accounts, the more similar, in terms of content or interest, they tend to be. Towards this direction, we introduce a methodology for discovering and suggesting similar Twitter accounts, based entirely on their disseminated content in terms of Twitter entities used. The methodology is based exclusively on semantic representation protocols and related technologies. An ontological schema is also described towards the semantification of the Twitter accounts and their entities.
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Type  article
Stage   submitted
Date   2015-05-30
Version   v1
Language   en ?
arXiv  1506.00100v1
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