abhilashmnair/Sarcasm-Detection-with-BERT-and-GCN
A sarcasm detection model using Bidirectional Encoder Representations for Transformers (BERT) and Graph Convolutional Networks (GCN) has shown state-of-art results against conventional models and vanilla transformer-based approaches.
This project helps developers build advanced sarcasm detection models. It takes text data as input and determines whether the text is sarcastic, outputting a classification. This is ideal for natural language processing engineers or researchers who need to enhance text analysis capabilities in their applications.
No commits in the last 6 months.
Use this if you are an NLP developer or researcher looking to implement a state-of-the-art sarcasm detection solution in your text analysis projects.
Not ideal if you are a non-developer seeking a ready-to-use tool for immediate sarcasm detection without coding.
Stars
17
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2
Language
Python
License
MIT
Category
Last pushed
Aug 16, 2024
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