Papers › Character-based Neural Embeddings for Tweet Clustering

Character-based Neural Embeddings for Tweet Clustering

15 Mar 2017WS 2017 4arXiv:1703.05123archive 2025-07-28

Svitlana Vakulenko, Lyndon Nixon, Mihai Lupu

In this paper we show how the performance of tweet clustering can be improved by leveraging character-based neural networks. The proposed approach overcomes the limitations related to the vocabulary explosion in the word-based models and allows for the seamless processing of the multilingual content. Our evaluation results and code are available on-line at https://github.com/vendi12/tweet2vec_clustering

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