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View all- Zhang ZStefanidis K(2024)Data-Driven Analysis for Monitoring Software EvolutionNew Trends in Database and Information Systems10.1007/978-3-031-70421-5_36(383-391)Online publication date: 14-Nov-2024
Multi-domain sentiment classification trains a classifier using multiple domains and then tests the classifier on one of the domains. Importantly, no domain is assumed to have sufficient labeled data; instead, the goal is leveraging information between ...
Active learning has been proven to be effective in reducing labeling efforts for supervised learning. However, existing active learning work has mainly focused on training models for a single domain. In practical applications, it is common to ...
Domain-dependence limits the application of a well-trained sentiment classifier based on one domain data in other different domains. To solve this problem, multi-domain sentiment classification has received great attention recently. It aims to ...
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