2019 International Artificial Intelligence and Data Processing Symposium (IDAP) 2019
DOI: 10.1109/idap.2019.8875952
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user2Vec: Social Media User Representation Based on Distributed Document Embeddings

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Cited by 7 publications
(2 citation statements)
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“…While the CBOW method tries to guess the word from the words in a particular window to the right and left of the word, the SG method tries to guess the words to the right and left of the word from the word itself. Besides word vectors, we also come across researches that create vectors for documents, patterns, users, and classes [23,24].…”
Section: Word Representationmentioning
confidence: 99%
“…While the CBOW method tries to guess the word from the words in a particular window to the right and left of the word, the SG method tries to guess the words to the right and left of the word from the word itself. Besides word vectors, we also come across researches that create vectors for documents, patterns, users, and classes [23,24].…”
Section: Word Representationmentioning
confidence: 99%
“…Gözetimsiz makine öğrenmesi yöntemlerinden yararlanılarak metin benzerliği [2], kümeleme [3], sosyal medya kullanıcılarının benzerliği [4] çözümleri geliştirilmektedir. Önceden tanımlı konu etiketleri mevcut olmadığı için, konu tespiti yöntemleri de genellikle denetimsiz makine öğrenmesi grubundaki algoritmalardan yararlanır.…”
Section: Introductionunclassified