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Text Auto-Markup

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

Tech Platform

Digital Transformation Domain

Project Type

Service Model

Technology Readiness Levels

Software Requirements Specifications Overview

Business and Economic Impact

Industry

Project Status

Successfully Deployed in Industry

Digital Transformation Domain

Unit Cost

$30,000

Pricing Model

Economic Impact

MARKET CAPABILITY & CONSUMER GROUPS

TARGET MARKET SEGMENTS

KEY CLIENT & CUSTOMERS

PROJECTED SALES METRICS

Individuals, Corporations/Legal Entities and Government Agencies/State Executive Authorities

Social & Environmental Impact

INVESTMENT RETURN & SUSTAINABILITY 

PRODUCT SUPPORT COSTS

INVESTMENT RETURN

Marketing Communications

Marketing Materials and Resources

License Tiers

Commercial Channels & Digital Marketplaces

Project Media Gallery & Video Demonstrations

Careers Anchor

Executive Roles

My Companies

Career Trek

Career Trek

Career Recognition

Project Biography

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