Character-based Neural Embeddings for Tweet Clustering

March 15, 2017 · Entered Twilight · 🏛 SocialNLP@EACL

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Repo contents: README.md, clustering_pipeline.py, data, evaluation, models, results, test_clustering_pipeline.py, tweet2vec

Authors Svitlana Vakulenko, Lyndon Nixon, Mihai Lupu arXiv ID 1703.05123 Category cs.IR: Information Retrieval Cross-listed cs.CL Citations 15 Venue SocialNLP@EACL Repository https://github.com/vendi12/tweet2vec_clustering ⭐ 26 Last Checked 1 month ago

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-line at https://github.com/vendi12/tweet2vec_clustering