Tower of babel: a crowdsourcing game building sentiment lexicons for resource-scarce languages

• Main Authors: HONG, Yoonsung, KWAK, Haewoon, BAEK, Youngmin, MOON, Sue.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: World Wide Web; Distributed knowledge acquisition; Lexicon construction; Sentiment labeling; online games; Data Storage Systems; Programming Languages and Compilers
• Online Access: https://ink.library.smu.edu.sg/sis_research/6096; https://ink.library.smu.edu.sg/context/sis_research/article/7099/viewcontent/Tower_of_Babel.pdf
• Institution: Singapore Management University

With the growing amount of textual data produced by online social media today, the demands for sentiment analysis are also rapidly increasing; and, this is true for worldwide. However, non-English languages often lack sentiment lexicons, a core resource in performing sentiment analysis. Our solution...