A New Era for Procurement Text Mining

27 Dec 2024

Exploring NLP for healthcare procurement, this study offers insights, challenges, and recommendations for practical, domain-specific text mining solutions.

The High Cost of Training Data in NLP Projects

26 Dec 2024

Explore the high cost of training data in NLP projects, comparing supervised vs. rule-based methods and highlighting practicality in industry contexts.

Why Classic Algorithms Still Matter in Modern Natural Language Processing

26 Dec 2024

Explore the challenges of choosing NLP methods for industry projects, balancing advanced models like BERT with simpler, more practical solutions.

Overcoming Multilingual and Multi-Task Challenges in NLP

26 Dec 2024

Explore how lightweight, generalized NLP methods and text classification with domain lexicons tackle multilingual, heterogeneous data in complex industry tasks.

How Machine Learning Helps Identify Lot Items in Tender Documents

25 Dec 2024

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

Why NLP Projects in Business Aren’t the Same as Research

25 Dec 2024

Learn how NLP projects in business differ from research, focusing on practical solutions, real-world challenges, and the need for continuous model updates.

Demonstrating Supplier Risk Profiles with Real-World Data

25 Dec 2024

Explore how the supplier risk profiles system calculates metrics like ability to supply and economic risk using 3.3 million healthcare tender notices.

Creating Supplier-Centric Contract Records with XML Parsing and Data Joining

25 Dec 2024

Vamstar integrates XML parsing, tender data, and award information to create supplier-centric contract records

Efficient Lot Parsing with Vamstar’s Rule-Based System

25 Dec 2024

Vamstar uses a rule-based system to parse lot references and item information from tender sentences, extracting structured data like item names, forms, and more