Gender-based multi-aspect sentiment detection using multilabel learning

• Main Authors: Kumar, J. Ashok, Trueman, Tina Esther, Cambria, Erik
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Multilabel Learning; Gender-Based Sentiment
• Online Access: https://hdl.handle.net/10356/163883
• Institution: Nanyang Technological University

Sentiment analysis is an important task in the field of natural language processing that aims to gauge and predict people's opinions from large amounts of data. In particular, gender-based sentiment analysis can influence stakeholders and drug developers in real-world markets. In this work, we...