PyABSA
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
Sentiment AnalysisOpen Source
About
PyABSA is a modular, reproducible framework for Aspect-based Sentiment Analysis (ABSA) — from research to production. It unifies training/evaluation/inference across ABSA subtasks, ships with ready-to-use checkpoints, and offers dataset tooling and metric visualization.
Open Source Health
- Stars
- 1,103
- Forks
- 174
- License
- MIT
- Last commit
- 1 months ago
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Alternatives to PyABSA
- Twitter Sentiment Visualisationby Alicia Sykes🌍 Sentiment analysis over real-time social media data, rendering live charts to visualise trends
Multimodal-Infomaxby Deep Cognition and Language Research (DeCLaRe) LabThis repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at EMNLP 2021.
Linusrantsby AlbertDataset of Linus Torvalds' rants classified by negativity using sentiment analysis- Sentiment Discoveryby NVIDIAUnsupervised Language Modeling at scale for robust sentiment classification
LSTM-Sentiment-Analysisby Adit DeshpandeSentiment Analysis with LSTMs in Tensorflow
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Heng Yang
Genomic LM and LLM