Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2017.2768547
Abstract: Revealing complex relations between entities (e.g., items within or between transactions) is of great significance for business optimization, prediction, and decision making. Such relations include not only co-occurrence-based explicit relations but also nonco-occurrence-based implicit ones.… read more here.
Keywords: implicit rules; rule mining; hidden item; rule ... See more keywords
An Enhanced MNB Based Model for Explicit and Hidden Sentiment Classification in Imbalanced Datasets
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DOI: 10.22266/ijies2019.1031.08
Abstract: Sentiment polarity classification (either explicit or hidden) is the process by which information can be extracted to be analysed as positive or negative opinion. Much work on supervised machine learning based sentiment classification has been… read more here.
Keywords: classification; explicit hidden; imbalanced datasets; sentiment ... See more keywords