Discovering similar Twitter accounts using semantics

作者: Gerasimos Razis , Ioannis Anagnostopoulos

DOI: 10.1016/J.ENGAPPAI.2016.01.015

关键词:

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

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