Shypd.aiThe largest open index of AI toolsPyABSA is an open-source framework for Aspect-based Sentiment Analysis (ABSA) that unifies training, evaluation, and inference across various ABSA subtasks. It provides ready-to-use checkpoints and dataset tooling for reproducible research and production.
Trending
About
PyABSA is a modular and reproducible open-source framework designed for Aspect-based Sentiment Analysis (ABSA), bridging the gap from research to production. It offers a unified API for training, evaluation, and inference across multiple ABSA subtasks, including Aspect Polarity Classification (APC), Aspect Term Extraction & Polarity Classification (ATEPC), Aspect Sentiment Triplet Extraction (ASTE), and Aspect Category Opinion Sentiment Triplet Extraction (ASQP/ACOS). The framework comes with a Model Zoo of available checkpoints that auto-download, visualization tools for evaluation metrics, and helpers for dataset annotation. Additionally, PyABSA supports text augmentation for classification and adversarial defense, along with automatic device selection for CPU/GPU. It is ideal for researchers and developers working with sentiment analysis and natural language processing tasks.
Capabilities
FAQs
Trending
