2026/06/04 by Khalil Husein, Lakshay Goel, Eric Anderson +3 · 1 voice
Computer Science · Psychology · #Sentiment Analysis and Opinion Mining #Mental Health via Writing #Topic Modeling
paper · doi:10.1037/cep0000399
openalex publication_date 2026/06/04 · openalex created_date 2026/06/05 · openalex updated_date 2026/07/22
= .32), on par with that of human coders reported in other work, when classification was limited to three valence types (negative, neutral, or positive) rather than five. Tool performance remained consistent regardless of data set size. VADER, more so than TextBlob, is a useful means of rapidly determining the broad emotional valence within large volumes of text data that would be unfeasible for manual coding. (PsycInfo Database Record (c) 2026 APA, all rights reserved).