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Found 2 papers, 1 papers with code
Affective and Contextual Embedding for Sarcasm Detection
To the best of our knowledge, this is the first attempt to directly alter BERT{'}s architecture and train it from scratch to build a sarcasm classifier.
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks
Affective tasks such as sentiment analysis, emotion classification, and sarcasm detection have been popular in recent years due to an abundance of user-generated data, accurate computational linguistic models, and a broad range of relevant applications in various domains.
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