sentimentagnostic
Sentimentagnostic (also written sentiment-agnostic) is a term used in natural language processing to describe approaches, models, or representations that are designed to be neutral with respect to sentiment polarity. The goal is to minimize or remove the predictive power of sentiment cues so that analyses focus on non-sentiment information such as topic, factual content, syntax, or semantics.
In practice, sentiment-agnostic designs are applied when sentiment should not influence outcomes or when robustness across
Common methods include removing or down-weighting sentiment-bearing lexicons, learning sentiment-free representations via adversarial training or information
Evaluation typically involves assessing the extent to which sentiment information remains recoverable from the representation and