ABI Platform — Text Auto-Markup

A system that uses the NLP model to cluster texts, i.e. groups them by topic and assigns a semantic meaning to each topic.
Marking texts by topic is a routine task that requires perseverance, attentiveness and the ability to maintain concentration for a long time. Automation of this process is designed to save human resources and avoid the influence of the human factor on the result of work. The implementation of this solution in the circuit of organizations with extensive unstructured (or in need of periodic structuring) databases will allow you to systematize information in the shortest possible time without human participation.
Areas of application:
The functionality of digital assistants includes:
Technical Architecture
Technology

TR Level


Software Requirements Specifications (SRS) Overview
Tech Platform

Digital Transformation Domain

Project Type

Service Model
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry
Unit Cost
$30,000
Pricing Model
Social & Environmental Impact
Economic Impact
MARKET CAPABILITY & CONSUMER GROUPS
TARGET MARKET SEGMENTS
Individuals, Corporations/Legal Entities and Government Agencies/State Executive Authorities
KEY CLIENT & CUSTOMERS
PROJECTED SALES METRICS
INVESTMENT RETURN & MAINTENANCE
PRODUCT MAINTENANCE COSTS
Careers Anchor
Executive Roles
My Companies




