Frustratingly Easy Sentiment Analysis of Text Streams: Generating High-Quality Emotion Arcs Using Emotion Lexicons. (arXiv:2210.07381v1 [cs.CL])

Automatically generated emotion arcs -- that capture how an individual or a
population feels over time -- are widely used in industry and research.
However, there is little work on evaluating the generated arcs. This is in part
due to the difficulty of establishing the true (gold) emotion arc. Our work,
for the first time, systematically and quantitatively evaluates automatically
generated emotion arcs. We also compare two common ways of generating emotion
arcs: Machine-Learning (ML) models and Lexicon-Only (LexO) methods. …

analysis arxiv easy emotion quality sentiment sentiment analysis text