Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis
Published: Jul 18, 2021
Abstract
Significant progress has been made in the area of text classification and natural language processing. However, like many other datasets from across different domains, text-based datasets may suffer from class-imbalance. This problem leads to model's bias toward the majority class instances. In this paper, we present a new approach to handle class-imbalance in text data by means of unsupervised learning algorithms. We present class-decomposition...
Paper Details
Title
Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis
Published Date
Jul 18, 2021
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