{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/what-can-we-learn-from-almost-a-decade-of","title":"What Can We Learn From Almost a Decade of Food Tweets","arxiv_id":"2007.05194","date":"2020-07-10","proceeding":null,"authors":["Uga Sproģis","Matīss Rikters"],"abstract":"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 contents of the corpus and demonstrate use-cases for the sub-corpora by training domain-specific question-answering and sentiment-analysis models using data from the corpus.","url_abs":"https://arxiv.org/abs/2007.05194v2","url_pdf":"https://arxiv.org/pdf/2007.05194v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"what-can-we-learn-from-almost-a-decade-of","repo_url":"https://github.com/Usprogis/Latvian-Twitter-Eater-Corpus","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/sentiment-analysis-on-latvian-twitter-eater","task":"Sentiment Analysis","dataset":"Latvian Twitter Eater Sentiment Dataset","model":"Naive Bayes","rank_in_archive_order":1,"of":1,"metrics":{"Accuracy":"61.23"},"uses_additional_data":true}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2007.05194","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}