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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.tasks.__SubtaskTemplate__¶

Submodules¶

  • pyabsa.tasks.__SubtaskTemplate__.configuration
  • pyabsa.tasks.__SubtaskTemplate__.dataset_utils
  • pyabsa.tasks.__SubtaskTemplate__.instructor
  • pyabsa.tasks.__SubtaskTemplate__.models
  • pyabsa.tasks.__SubtaskTemplate__.prediction
  • pyabsa.tasks.__SubtaskTemplate__.trainer

<Page contents

>Page contents:

  • pyabsa.tasks.__SubtaskTemplate__
    • Submodules
<pyabsa.tasks.UniversalSentimentAnalysis.trainer.trainer
pyabsa.tasks.__SubtaskTemplate__.configuration>
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