Development of a sentiment corpus from a gamified approach

• Main Authors: Tiam-Lee, Thomas James Z., See, Solomon L.
• Format: text
• Published: Animo Repository 2015
• Subjects: Sentiment analysis; Natural language generation (Computer science); Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/13018
• Institution: De La Salle University

This paper discusses a sentiment corpus that was built from a gamified application. Each entry in the corpus contains a topic, a statement, and an annotation, which tells if the statement bears a positive or negative sentiment towards the topic. These were generated from the Polarity gamified web ap...