A method and system for sentiment classification and emotion classification [US Patent 20170308523A1]

• Main Authors: WANG, Zhaoxia, GOH, Rick Siow Mong, YANG, Yinping
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/9810; https://ink.library.smu.edu.sg/context/sis_research/article/10810/viewcontent/Patent1_US20170308523A1.pdf
• Institution: Singapore Management University

A system and a method for classifying text messages, such as social media messages into sentiment valence categories are provided. The system comprising a module for decomposing text messages, a module for cleaning text messages, a module for producing feature data of text messages, and a module for classifying text messages into sentiment valence categories. The module for decomposing text messages is configured to: receive a text message, parse the text message into separate portions in response to parsing criteria based on sentence delimiters, wherein the separate portions are sentences, phrases and words, and rejoin at least some of the separate portions of the text message into sentences in response to predefined linguistic conditions.