Newswire: A Large-Scale Structured Database of a Century of Historical News
By Emily Silcock, Abhishek Arora, Luca D'Amico-Wong, Melissa Dell
Rating
1155
Battle Count: 82
Relevance
3/10
While not directly applicable to quantitative trading, the dataset and methods could be adapted for historical financial news analysis
Implementation Complexity
8/10
Complex pipeline involving multiple deep learning models and data processing steps
Reproducibility
4/5
Detailed methodology provided, models and dataset publicly available on Hugging Face
About this paper
Methodology: Deep Learning Pipeline. Problem types: Natural Language Processing, Computer Vision, Information Retrieval, Entity Disambiguation, Topic Classification, Named Entity Recognition.
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