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Consensus Clustering of Tweet Networks via Semantic and Sentiment Similarity Estimation

Although Twitter has become an important source of information, the number of accessible tweets is too large for users to easily find their desired information. To overcome this difficulty, a method for tweet clustering is proposed in this paper. Inspired by the reports that network representation i...

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Bibliografische gegevens
Hoofdauteurs: Ryosuke Harakawa, Shoji Takimura, Takahiro Ogawa, Miki Haseyama, Masahiro Iwahashi
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2019-01-01
Reeks:IEEE Access
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Online toegang:https://ieeexplore.ieee.org/document/8807124/
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