Gender-based multi-aspect sentiment detection using multilabel learning

• المؤلفون الرئيسيون: Kumar, J. Ashok, Trueman, Tina Esther, Cambria, Erik
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Multilabel Learning; Gender-Based Sentiment
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/163883

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...