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KOREAN3X-TMiner
Advanced Literature Text-Mining Platform
3X TMiner uses Natural Language Processing (NLP) to text-mine over 30 million scientific publications, linking genes, diseases, drugs, and clinical trial information. Our platform can identify research trends and integrate various types of biological and clinical data to provide comprehensive insights for managing extensive literature surveys.
Key Features
- Advanced NLP Algorithms: Extracts precise data from vast publications.
- Data Integration: Combines literature, biotech, clinical trials, and drug information.
- Research Network Analysis: Tracks research trends and corporate activities.
The Problem
Researchers face challenges in sifting through vast amounts of scientific literature to find relevant data and insights, which is time-consuming and inefficient.
Our Solution
3X TMiner uses advanced NLP to extract and link relevant information from millions of publications, enabling researchers to quickly access and utilize critical data for their studies.
Apply Text mining Technology
Text mining using Natural Language Processing (NLP) techniques for various terminology such as genes, diseases, drugs, and
networks by importing the abstract contents of scientific books.
Structure and utilization of scientific data
Based on more than 30 million scientific literature, it structures genes, diseases, drugs, clinical information, and supports various
information to identify the flow of research.
