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Intelligent Sentiment Analysis Toolkit

Intelligent Sentiment Analysis Toolkit

Sentiment Analysis Sentiment Analysis:

1. taken separately as a whole;

2. relative to the specific essence in the phrase;

3. phrases in context.

The number of classes in sentiment analysis is determined when setting a business task (usually 3-5 classes). To create a product, you need to use 1 machine learning model. This machine learning model was developed by the iPavlov team in more than 60 different versions. At the same time, some models were trained by us from scratch on a computing cluster. BERT Conversational by DeepPavlov, modified to a commercial version by the iPavlov team, classifies the sentiment of texts with high scores by metrics.

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

$1,000,000

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

ПАО «ВТБ», Medialogia

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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