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 is an Other AI project. It focuses on running accurate aspect-based sentiment analysis on text without building models from scratch. It is built as an open-source project for developers. Deberta V3 Base Absa is open source under the MIT license. It runs on the web, the command line, and API.
It is developed by yangheng, and it first shipped in 2020. Development happens publicly 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.
Summary written by a language model from the project’s public pages.
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