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Quantifying the Natural Sentiment Strength of Polar Term Senses Using Semantic Gloss Information and Degree Adverbs

Mohammad Darwich, Shahrul Azman Mohd Noah, Nazlia Omar, Nurul Aida Osman, Ibrahim Said Ahmad

2020Journal of Advances in Information Technology34 citationsDOIOpen Access PDF

Topics & Concepts

Gloss (optics)Term (time)Computer scienceArtificial intelligenceNatural language processingMathematicsInformation retrievalMaterials scienceComposite materialPhysicsQuantum mechanicsCoatingSentiment Analysis and Opinion MiningAdvanced Text Analysis TechniquesTopic Modeling
Quantifying the Natural Sentiment Strength of Polar Term Senses Using Semantic Gloss Information and Degree Adverbs | Litcius