Learning discriminative neural sentiment units for semi-supervised target-level sentiment classification

• Main Authors: ZHAO, Jingjing, YANG, Yao, PANG, Guansong, LV, Lei, SHANG, Hong, SUN, Zhongqian, YANG, Wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Discriminative neural sentiment units; Target-level sentiment analysis; Deep neural network; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/7059; https://ink.library.smu.edu.sg/context/sis_research/article/8062/viewcontent/Advances_in_Knowledge_Discovery_and_Data_Mining.pdf
• Institution: Singapore Management University

Target-level sentiment classification aims at assigning sentiment polarities to opinion targets in a sentence, for which it is significantly more challenging to obtain large-scale labeled data than sentence/document-level sentiment classification due to the intricate contexts and relations of the ta...