Recommendation vs sentiment analysis: A text-driven latent factor model for rating prediction with cold-start awareness

• Main Authors: SONG, Kaisong, GAO, Wei, FENG, Shi Feng, WANG, Daling, WONG, Kam-Fai, ZHANG, Chengqi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Machine Learning. Classification; Machine Learning; Data Mining; Multidisciplinary Topics and Applications; Personalization and User Modeling; Natural Language Processing; Sentiment Analysis and Text Mining; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4564; https://ink.library.smu.edu.sg/context/sis_research/article/5567/viewcontent/0382.pdf
• Institution: Singapore Management University

Review rating prediction is an important research topic. The problem was approached from either the perspective of recommender systems (RS) or that of sentiment analysis (SA). Recent SA research using deep neural networks (DNNs) has realized the importance of user and product interaction for better...