This post presents a straightforward case study on using a pre-trained Transformer model for sarcasm detection in text. It covers the dataset preparation, model fine-tuning, and evaluation process, providing insights into the capabilities and limitations of AI in understanding nuanced language like sarcasm.
This post explores machine learning models for classifying policy area of congressional bills.
This study provides a detailed exploration of the legislative processes, party dynamics, and key activities of the 117th Congress, employing data visualization and NLP techniques.
Discover the CoQA dataset: A resource for conversational question answering challenges in NLP.
Explore the QuAC dataset, a novel resource designed to advance conversational question answering systems in natural language processing.