Tenner

Learn everything you need to know about Slogging via these 461 free HackerNoon stories.

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This Slogging thread by Jack Boreham, Rick, goldenwarrior, John Mercouris, Terry Jones, Valentine Enedah, Dan Tennery-Spalding, Jason Green, Marco Sullivan, Limarc Ambalina, Mónica Freitas, Sara Pinto and Andrew Ciaccia occurred in slogging's official #amas channel, and has been edited for readability.

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Learn how machine learning algorithms help extract lot references and item details from tender documents, improving accuracy and efficiency in data processing.

How Machine Learning Helps Identify Lot Items in Tender Documents

Vamstar uses machine learning to identify lot references and items in tender documents, classifying sentences and tables for lot item detection.

Using Machine Learning for Lot and Item Identification in Tenders

Vamstar uses machine learning to filter relevant pages and tables from tender documents, identifying lot references and items for further processing.. TLDR:

How Vamstar Identifies Relevant Content for Lots in Tender Documents

Vamstar develops methods to extract domain knowledge from TED tender XMLs, building multilingual lexicons and classifiers for analysis.

How Vamstar Makes Sense of Complex Tender Data

A multi-step methodology extracts structured lot and item data from tender documents, helping build supplier risk profiles using text processing and XML parsing

Workflow for Extracting Structured Data from Tender Documents to Build Supplier Risk Profiles

We run free-to-play sports prediction games through our own iOS and Android mobile apps, and also build integrated solutions for sports organisations who use Tenner to engage and acquire their own fans

TENNER

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TENNER

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TENNER

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COMPANY RANKING

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