SES: Sentiment Elicitation System for Social Media Data
Social Media is becoming major and popular technological platform that allows users discussing and sharing information. Information is generated and managed through either computer or mobile devices by one person and consumed by many other persons. Most of these user generated content are textual information, as Social Networks (Facebook, LinkedIn), Microblogging (Twitter), blogs (Blogspot, Wordpress). Looking for valuable nuggets of knowledge, such as capturing and summarizing sentiments from these huge amount of data could help users make informed decisions. In this paper, the authors develop a sentiment identification system called SES which implements three different sentiment identification algorithms.