A neural network model for semi-supervised review aspect identification

• Main Authors: DING, Ying, YU, Changlong, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Entropy; coherence; opinion mining; Aspect identifications; Different domains; Multinomials; Neural network model; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3724; https://ink.library.smu.edu.sg/context/sis_research/article/4726/viewcontent/101007_2F978_3_319_57529_2_52.pdf
• Institution: Singapore Management University

Aspect identification is an important problem in opinion mining. It is usually solved in an unsupervised manner, and topic models have been widely used for the task. In this work, we propose a neural network model to identify aspects from reviews by learning their distributional vectors. A key diffe...