A bootstrapping approach to social media quantification

Volume: 11, Issue: 1
Published: Aug 9, 2021
Abstract
This work considers the use of classifiers in a downstream aggregation task estimating class proportions, such as estimating the percentage of reviews for a movie with positive sentiment. We derive the bias and variance of the class proportion estimator when taking classification error into account to determine how to best trade off different error types when tuning a classifier for these tasks. Additionally, we propose a method for constructing...
Paper Details
Title
A bootstrapping approach to social media quantification
Published Date
Aug 9, 2021
Volume
11
Issue
1
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