Publication Type
Patent
Version
publishedVersion
Publication Date
11-2015
Abstract
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.
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media
Research Areas
Intelligent Systems and Optimization
First Page
1
Last Page
22
Publisher
US Patent Office
Embargo Period
12-17-2024
Citation
WANG, Zhaoxia; GOH, Rick Siow Mong; and YANG, Yinping.
A method and system for sentiment classification and emotion classification [US Patent 20170308523A1]. (2015). 1-22.
Available at: https://ink.library.smu.edu.sg/sis_research/9810
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://patents.google.com/patent/US20170308523A1/en
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons, Social Media Commons