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Based on our record, Extract Tables by Docsumo should be more popular than Webhose.io. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is neat. Over Docsumo [0] we have a combination of ML plus NLP+Computer Vision algorithms to detect the tables: [0] - https://docsumo.com/free-tools/extract-tables-from-pdf-images. - Source: Hacker News / about 3 years ago
Our older pipelines use image-processing-based approaches. However, they had too much assumptions in them (for instance, header texts, column types, etc). Now, we've moved onto to ML-based approach to train generic models that can be applied to variety of documents for table structure recognition. [0] - https://docsumo.com/free-tools/extract-tables-from-pdf-images. - Source: Hacker News / over 3 years ago
In this article, we discuss a state of the art NLP pipeline that enables the grouping of randomly selected articles from www.amazon.com into relevant topics. We use webhose.io for data ingestion, IBM Watson developer cloud for named entity recognition, MongoDB for storage and a Flask app to display the results. To read full article visit:... Source: 9 months ago
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