Sarcasm Detection using Context Separators in Online Discourse
Tanvi Dadu, Kartikey Pant
Abstract
Sarcasm is an intricate form of speech, where meaning is conveyed implicitly. Being a convoluted form of expression, detecting sarcasm is an assiduous problem. The difficulty in recognition of sarcasm has many pitfalls, including misunderstandings in everyday communications, which leads us to an increasing focus on automated sarcasm detection. In the second edition of the Figurative Language Processing (FigLang 2020) workshop, the shared task of sarcasm detection released two datasets, containing responses along with their context sampled from Twitter and Reddit.
Topics & Concepts
SarcasmContext (archaeology)Computer scienceSecurity tokenNatural language processingFocus (optics)Artificial intelligenceMeaning (existential)Task (project management)Literal and figurative languageWord (group theory)Speech recognitionPsychologyLinguisticsIronyEngineeringSystems engineeringPhilosophyBiologyPsychotherapistComputer securityPaleontologyOpticsPhysicsSentiment Analysis and Opinion MiningTopic ModelingNatural Language Processing Techniques