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What is Sentiment Analytics

Next-Generation Applications and Implementations of Gamification Systems
A method used to identify opinions, sentiments, and subjectivity from a given dataset.
Published in Chapter:
Using Sentiment Analytics to Understand Learner Experiences in Serious Games
Linda William (Temasek Polytechnic, Singapore) and Ruan Yang (Temasek Polytechnic, Singapore)
DOI: 10.4018/978-1-7998-8089-9.ch008
A serious game has been introduced as an alternative tool to support teaching and learning. It integrates entertainment and non-entertainment elements to encourage the voluntary learning of knowledge and skills. One of the essential entertainment elements in the serious game to motivate learning is the enjoyment element. However, studies on models to analyze this enjoyment element are still limited. Most models present isolated and specific approaches for specific games that cannot scale to other games. In this chapter, a generic enjoyment analytics framework is proposed. The framework aims to capture learners' enjoyment experience using open-ended feedback, analyze the feedback using sentiment analytics models, and visualize the results in an interactive dashboard. Using this framework, the lecturers would interpret the learners' experience towards the topic and the game and capture difficulties the learners may encounter during the game. It would help the lecturers to decide follow-up actions required for the learners to improve the learning.
Full Text Chapter Download: US $29.50 Add to Cart
More Results
Integrating Big Data Analytics Into Retail Services Marketing Management: The Case of a Large Shopping Center in London, UK
A process producing computing sentiment scores for each text, which can be used to quantify the positivity and emotional intensity with which people talk about a certain brand, product, service, and shopping.
Full Text Chapter Download: US $29.50 Add to Cart
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