تقرير
Discovering similar Twitter accounts using semantics
| العنوان: | Discovering similar Twitter accounts using semantics |
|---|---|
| المؤلفون: | Razis, Gerasimos, Anagnostopoulos, Ioannis |
| سنة النشر: | 2015 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Social and Information Networks |
| الوصف: | 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. Comment: Draft version of paper. arXiv admin note: substantial text overlap with arXiv:1409.3771 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1506.00100 |
| رقم الأكسشن: | edsarx.1506.00100 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |