Sentic LSTM : a hybrid network for targeted aspect-based sentiment analysis

• المؤلفون الرئيسيون: Ma, Yukun, Peng, Haiyun, Khan, Tahir, Cambria, Erik, Hussain, Amir
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Sentiment Analysis; Commonsense Knowledge
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/141695
• المؤسسة: Nanyang Technological University

Sentiment analysis has emerged as one of the most popular natural language processing (NLP) tasks in recent years. A classic setting of the task mainly involves classifying the overall sentiment polarity of the inputs. However, it is based on the assumption that the sentiment expressed in a sentence...