When food matters: identifying food-related events on Twitter
Eleonora Ciceri, Ilio Catallo, Davide Martinenghi, Piero Fraternali · Virtual Community of Pathological Anatomy (University of Castilla La Mancha) · 2015
Food communities in Twitter are growing every year, and food-related content permeates everyday conversations.Users meet on Twitter to share recipes, give cooking advices or simply inform others about what they are eating.While some of these food-related conversations are not associated with any special occurrence, many conversations take place instead during specific events.The detection of food-related events gives interesting insights: people do not talk only about Halloween and Easter, but they also create their own food-related events, such as the promotion of products (e.g., an online petition to propose the production of bacon-flavored chips) or themed home-made recipes (e.g., a day of recipes dedicated to chocolate).In this paper, we propose an approach that accurately captures food-related content from the tweet live stream, and analyze the detected conversations to identify food-related events.The proposed technique is general as it can be applied to the identification of other thematic events in digital streams.This work is partly funded by the EC's FP7 "Smart H2O" project, and the EU and Regione Lombardia's "Proactive" project 1 https://about.twitter.com/company1. Topic-related tweet retrieval.Each tweet entering our system is classified as relevant/non-relevant for the topic τ .Specifically, to determine the rele-