Cognitive-inspired domain adaptation of sentiment lexicons

• المؤلفون الرئيسيون: Xing, Frank Z., Pallucchini, Filippo, Cambria, Erik
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Sentiment Lexicon; Domain Adaptation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/151125

Sentiment lexicons are essential tools for polarity classification and opinion mining. In contrast to machine learning methods that only leverage text features or raw text for sentiment analysis, methods that use sentiment lexicons embrace higher interpretability. Although a number of domain-specifi...