Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter

摘要

Twitter accounts include a range of different types of users. While many individuals use Twitter, organizations also have Twitter accounts. Identifying opinions and trends from Twitter requires the accurate differentiation of these two groups. Previous work (McCorriston et al., 2015) presented a method for determining if an account was an individual or organization based on account profile and a collection of tweets. We present a method that relies solely on the account profile, allowing for the classification of individuals versus organizations based on a single tweet. Our method obtains accuracies comparable to methods that rely on much more information by leveraging two improvements: a character-based convolutional neural network, and an automatically-derived corpus an order of magnitude larger than the previously available dataset. We make both the dataset and the resulting tool available.