The added value of auxiliary data in sentiment analysis of Facebook posts
Abstract
The purpose of this study is to (1) assess the added value of information available before (i.e., leading) and after (i.e., lagging) the focal post's creation time in sentiment analysis of Facebook posts, (2) determine which predictors are most important, and (3) investigate the relationship between top predictors and sentiment. We build a sentiment prediction model, including leading information, lagging information, and traditional post...
Paper Details
Title
The added value of auxiliary data in sentiment analysis of Facebook posts
Published Date
Sep 1, 2016
Journal
Volume
89
Pages
98 - 112
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