Masking The Bias : From Echo Chambers to Large Scale Aspect-Based Sentiment Analysis

This repository addresses the challenges of scarcity and high costs associated with manual annotation in Aspect-Based Sentiment Analysis (ABSA) by utilizing weak supervision methods. We have demonstrated the superiority of our model using SemEval datasets and real-world tweet data.

For more details please visit github.com/tweetpie/masked-absa

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Safetensors

Model size

783M params

Tensor type

F32

Inference Examples

Text2Text Generation

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