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This paper presents a combination of machine learning and lexicon-based approaches for sentiment analysis of students feedback. The textual feedback, typically collected towards the end of a semester, provides useful insights into the overall teaching quality and suggests valuable ways for improving teaching methodology. The paper describes a sentiment analysis model trained using TF-IDF and lexicon-based...
The recent advances in Web 2.0 have significantly transformed the world into a global community by making information propagation easier. In this study, we have employed social network analysis and visualization techniques to understand the role of twitter network in propagating awareness regarding Global Issues the world is facing today. The findings revealed the distinct role of twitters users such...
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