Conference paper Open Access

Character-based Neural Embeddings for Tweet Clustering

Nixon, Lyndon; Vakulenko, Svitlana; Lupu, Mihai


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{
  "description": "<p>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.</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "MODUL Technology", 
      "@type": "Person", 
      "name": "Nixon, Lyndon"
    }, 
    {
      "affiliation": "Vienna University of Economics and Business", 
      "@type": "Person", 
      "name": "Vakulenko, Svitlana"
    }, 
    {
      "affiliation": "TU Wien", 
      "@type": "Person", 
      "name": "Lupu, Mihai"
    }
  ], 
  "headline": "Character-based Neural Embeddings for Tweet Clustering", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2017-04-03", 
  "url": "https://zenodo.org/record/582565", 
  "keywords": [
    "Story Detection, Tweet Clustering, Tweet2vec, Vector Space Model, Character-based Embedding"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.582565", 
  "@id": "https://doi.org/10.5281/zenodo.582565", 
  "@type": "ScholarlyArticle", 
  "name": "Character-based Neural Embeddings for Tweet Clustering"
}
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