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Compares classification of emotional valence in autobiographical memories using VADER and TextBlob, indicating effective automated methods.
= .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).
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Husein et al. (2026) studied this question.
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