Model Description FinABSA is a T5 Large model trained for Aspect Based Sentiment Analysis(ABSA) tasks using SEntFiN 1.0. Unlike traditional sentiment analysis models which predict a single sentiment label for each sentence, FinABSA has been trained to disambiguate sentences containing multiple aspects. By replacing the target aspect with a [TGT] token the model predicts the sentiment concentrating to the aspect. GitHub Repo How to use You can use this model directly using the AutoModelForSeq2SeqLM class. Evaluation Results Using a test split arbitarly extracted from SEntFiN 1.0 the model scores an average accuracy of 87%.
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