How Vamstar Identifies Relevant Content for Lots in Tender Documents | HackerNoon
The project focuses on optimizing text content filtering for lot zoning in procurement processes.
Overcoming Multilingual and Multi-Task Challenges in NLP | HackerNoon
Combining diverse subfield methods is essential for handling heterogeneous, multilingual data in text mining and NLP projects.
Report Shows How NLP Helps Extract Value from Procurement Contracts | HackerNoon
Text mining and NLP have minimal application in procurement, highlighting a gap in research and practical methodologies.
How to Convert Different Data Formats into Universal JSON with VUD | HackerNoon
The project aims to standardize data extraction from various file formats into a unified JSON format for easier machine accessibility.
The High Cost of Training Data in NLP Projects | HackerNoon
The cost of training data significantly influences methodological choices in NLP projects, favoring unsupervised approaches over fully supervised ones.
Using Machine Learning for Lot and Item Identification in Tenders | HackerNoon
Text mining and NLP techniques effectively identify lot references and item descriptions in procurement documents.
How Vamstar Identifies Relevant Content for Lots in Tender Documents | HackerNoon
The project focuses on optimizing text content filtering for lot zoning in procurement processes.
Overcoming Multilingual and Multi-Task Challenges in NLP | HackerNoon
Combining diverse subfield methods is essential for handling heterogeneous, multilingual data in text mining and NLP projects.
Report Shows How NLP Helps Extract Value from Procurement Contracts | HackerNoon
Text mining and NLP have minimal application in procurement, highlighting a gap in research and practical methodologies.
How to Convert Different Data Formats into Universal JSON with VUD | HackerNoon
The project aims to standardize data extraction from various file formats into a unified JSON format for easier machine accessibility.
The High Cost of Training Data in NLP Projects | HackerNoon
The cost of training data significantly influences methodological choices in NLP projects, favoring unsupervised approaches over fully supervised ones.
Using Machine Learning for Lot and Item Identification in Tenders | HackerNoon
Text mining and NLP techniques effectively identify lot references and item descriptions in procurement documents.
Text mining organizes unstructured data for machine and human understanding, with 80% of the world's data being unstructured, including text, social media posts, videos, and more.