Character-based Neural Embeddings for Tweet Clustering

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Mar 16, 2017
Svitlana Vakulenko, Lyndon Nixon, Mihai Lupu
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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

* Accepted at the SocialNLP 2017 workshop held in conjunction with EACL 2017, April 3, 2017, Valencia, Spain  
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