This is a fine-tuned DeBERTa-v3-base model specialized for aspect-based sentiment analysis (ABSA). It identifies sentiment towards specific aspects or entities within text, supporting multiple languages. The model is production-ready, lightweight, and available for use via the Hugging Face Transformers library.
Deberta V3 Base Absa sits in PulseGate's Other AI category. It focuses on running accurate aspect-based sentiment analysis on text without building models from scratch. Deberta V3 Base Absa is an open-source project aimed at developers. The project is open source (MIT). It runs on the web, the command line, and API.
Behind Deberta V3 Base Absa is yangheng, and the product first shipped in 2020. The project is developed in the open on GitHub with 1.1k stars. Among its 3 catalogued features are Text Classification, Aspect-Based Sentiment Analysis, and Multilingual Support. It exposes integrations via a public API.
Latest indexed changes and source events
yangheng/deberta-v3-base-absa-v1.1 verified by the PulseGate indexer
