Abstract
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-line1
Cite
CITATION STYLE
Vakulenko, S., Nixon, L., & Lupu, M. (2017). Character-based Neural Embeddings for Tweet Clustering. In SocialNLP 2017 - 5th International Workshop on Natural Language Processing for Social Media, Proceedings of the Workshop AFNLP SIG SocialNLP (pp. 36–44). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-1105
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