sajida-dev
/

fine-tune-deberta-v3-base-end2end-absa-model

Token Classification

sentiment-classification

aspect-based-sentiment-classification

sequence-labeling

sentiment-analysis

deberta-finetune

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sajida-dev commited on Dec 19, 2025

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@@ -21,7 +21,7 @@ tags:
 - sentiment-analysis
 - deberta-finetune
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-# Multilingual Finetuned Deberta End-to-End Aspect-based Sentiment Analysis
 This model is a fine-tuned version of `yangheng/deberta-v3-base-end2end-absa` for Aspect-Based Sentiment Analysis (ABSA).
 It performs end-to-end ABSA by jointly extracting aspect terms and their sentiments using a single token-classification head. Labels follow an IOB-with-sentiment format, for example `B-ASP-Positive`, `I-ASP-Negative`, or `O` for non-aspect tokens.

 - sentiment-analysis
 - deberta-finetune
 ---
+# Finetuned Deberta End-to-End Aspect-based Sentiment Analysis
 This model is a fine-tuned version of `yangheng/deberta-v3-base-end2end-absa` for Aspect-Based Sentiment Analysis (ABSA).
 It performs end-to-end ABSA by jointly extracting aspect terms and their sentiments using a single token-classification head. Labels follow an IOB-with-sentiment format, for example `B-ASP-Positive`, `I-ASP-Negative`, or `O` for non-aspect tokens.