Text Augmentation Based on Integrated Gradients Attribute Score for Aspect-based Sentiment Analysis

• Published in: 2023 IEEE International Conference on Big Data and Smart Computing (BigComp) pp. 227 - 234
• Main Authors: Santoso, Noviyanti, Mendonca, Israel, Aritsugi, Masayoshi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.02.2023
• Subjects: Analytical models; aspect-based sentiment analysis; Computer vision; data augmentation; Deep learning; Diversity reception; feature importance; integrated gradients; Sentiment analysis; Text analysis; Training data

One of the factors that determine the effectiveness of deep learning models for sentiment analysis is the availability of high-quality training data. Data augmentation is a strategy to increase the amount of training data by applying semantically specified adjustments to training data. Such techniqu...