Optimal feature selection for learning-based algorithms for sentiment classification

• المؤلفون الرئيسيون: Wang, Zhaoxia, Lin, Zhiping
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies; Machine Learning; Feature Selection
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/149878

Sentiment classification is an important branch of cognitive computation—thus the further studies of properties of sentiment analysis is important. Sentiment classification on text data has been an active topic for the last two decades and learning-based methods are very popular and widely used in v...