Benefits of Unstructured Data Processing
Documents are not considered isolated.
It gives you multiple, flexible, and unexpected access patterns.
Integrates with other Machine Learning approaches (i.e., recommendation).
Easy to integrate with other tools (ie. Huggingface).
Can create a knowledge graph.
Feature Building Blocks
Load and parse documents of different types: plain text, PDF, Word, or Excel. Hume converts the content and metadata into nodes and relationships, thereby enriching your knowledge graph.
Crawl entire websites - Hume converts the structure, metadata, and content into nodes and relationships and enriches your existing knowledge graph.
Automatically recognize domain specific entities that are of interest for your organisation and use case.
Leverage latest techniques based on deep learning for identifying named entities using contextual information from the text.
Avoid spending time on training complex machine learning models and specify rules to reveal connections among entities in the text.
Automatically convert free text sentences into relationships amongst entities, using machine learning models.
Extract relevant keywords and key phrases from free text using Hume's proprietary, unsupervised keyword extraction algorithm.
Get a Live Demo
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What can I expect?
- A brief conversation to discuss your organisation's needs and requirements
- Live demonstration of Hume tailored to the way you work
- All your questions answered to make sure you have all the information you need
- No commitment whatsoever
See for yourself! Fill out the form to schedule a free demo customised for your needs, or give us a call.