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PyABSA 2.4.3 documentation

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Getting started

  • Introduction to PyABSA
  • Installation

Quick start

  • Quickstart: Aspect-Based Sentiment Classification (ABSC)
  • Aspect Term Extraction (ATE)
  • Aspect Term Extraction and Sentiment Classification (ATESC)
  • Annotating Custom Datasets
  • Adversarial Defense for Text Classification
  • Text Auto-Augmentation for Classification
  • Training Custom Tokenizers and Word Embeddings

User guide

  • Supported Tasks
  • Configuration Guide
  • Working with Datasets
  • Visualizing Metrics

Tutorials and notebooks

  • Aspect-based Sentiment Classification
  • Aspect Term Extraction and Sentiment Classification
  • Aspect Sentiment Triplet Extraction (ASTE)
  • Aspect Sentiment Classification
  • Aspect setiment triplet extraction
  • Aspect Term Extraction and Sentiment Classification

Advanced topics

  • Data Augmentation for Aspect-Based Sentiment Classification
  • Text Classification

API reference

  • API Reference

Citation

  • Citing PyABSA
  • API Reference
    • pyabsa
      • pyabsa.augmentation
      • pyabsa.framework
      • pyabsa.networks
      • pyabsa.tasks
      • pyabsa.utils
    • data_utils_for_training
    • data_utils_for_inference

pyabsa.framework¶

Submodules¶

  • pyabsa.framework.checkpoint_class
  • pyabsa.framework.configuration_class
  • pyabsa.framework.dataset_class
  • pyabsa.framework.flag_class
  • pyabsa.framework.instructor_class
  • pyabsa.framework.prediction_class
  • pyabsa.framework.predictor_class
  • pyabsa.framework.sampler_class
  • pyabsa.framework.tokenizer_class
  • pyabsa.framework.trainer_class

<Page contents

>Page contents:

  • pyabsa.framework
    • Submodules
<pyabsa.augmentation.text_augment.tc_augment
pyabsa.framework.checkpoint_class>
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