What Can We Learn from Almost a Decade of Food Tweets

• Uga Sproģis ^[1] ; Matīss Rikters ^[2]
  1. [1] University of Latvia

     University of Latvia

     Letonia

     
  2. [2] University of Tokyo

     University of Tokyo

     Japón

     
• Localización: Human Language Technologies – The Baltic Perspective: Proceedings of the Ninth International Conference Baltic HLT 2020 / coord. por Andrius Utka, Jurgita Vaičenonienė, Jolanta Kovalevskaitė, Danguolė Kalinauskaitė, 2024, ISBN 978-1-64368-116-0, págs. 191-198
• Idioma: inglés
• Enlaces
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• Resumen

  • We present the Latvian Twitter Eater Corpus- a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of over 8 years and includes over 2 million tweets entailed with additional useful data. We also separate two sub-corpora of question and answer tweets and sentiment annotated tweets. We analyse the contents of the corpus and demonstrate use-cases for the sub-corpora by training domain-specific question-answering and sentiment-analysis models using the data from the corpus.