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.utils.text_utils.cosine_similarity¶

<pyabsa.utils.text_utils.bpe_tokenizer

pyabsa.utils.text_utils.mlm>

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