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Based on our record, Prodigy seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
If your address comes in different forms and shapes then you won't go too far with a regex so NER seems like a viable approach here . The downside is that you need quite a few labelled address data which is hard to find, or time consuming to label. If you really want to go down this path you would need to find a labelling framework, I remember that my team used prodigy a couple of years ago but there might be... - Source: Reddit / 29 days ago
In addition to Flair you can also use SpaCy in conjunction with Prodigy as this is a fairly standard use of that toolkit. - Source: Reddit / about 2 months ago
Having built a model to identify sensitive data having a solid data labeling solution would be awesome. https://github.com/capitalone/DataProfiler In this space, Prodigy really dominates: https://prodi.gy/ We actually built our own internal system which integrates and can export the labels (does predictive labeling, etc). Of course, we only focused on text data at the moment. - Source: Hacker News / 3 months ago
Hey HN! Markup is an open-source annotation tool for transforming unstructured documents into a structured format that can be used for ML, NLP, etc. Markup learns as you annotate in order to speed up the process by suggesting complex annotations to you. There are also a few different in-built tools, including: - A data generator that helps you to produce synthetic data for training the suggestion model - An... - Source: Hacker News / 4 months ago
Https://prodi.gy used for annotating for spacy. - Source: Reddit / 5 months ago
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